---
_id: '63918'
abstract:
- lang: eng
text: Many real-world datasets, such as citation networks, social networks, and
molecular structures, are naturally represented as heterogeneous graphs, where
nodes belong to different types and have additional features. For example, in
a citation network, nodes representing "Paper" or "Author" may include attributes
like keywords or affiliations. A critical machine learning task on these graphs
is node classification, which is useful for applications such as fake news detection,
corporate risk assessment, and molecular property prediction. Although Heterogeneous
Graph Neural Networks (HGNNs) perform well in these contexts, their predictions
remain opaque. Existing post-hoc explanation methods lack support for actual node
features beyond one-hot encoding of node type and often fail to generate realistic,
faithful explanations. To address these gaps, we propose DiGNNExplainer, a model-level
explanation approach that synthesizes heterogeneous graphs with realistic node
features via discrete denoising diffusion. In particular, we generate realistic
discrete features (e.g., bag-of-words features) using diffusion models within
a discrete space, whereas previous approaches are limited to continuous spaces.
We evaluate our approach on multiple datasets and show that DiGNNExplainer produces
explanations that are realistic and faithful to the model's decision-making, outperforming
state-of-the-art methods.
author:
- first_name: Pallabee
full_name: Das, Pallabee
last_name: Das
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
citation:
ama: 'Das P, Heindorf S. Discrete Diffusion-Based Model-Level Explanation of Heterogeneous
GNNs with Node Features. In: Proceedings of the ACM Web Conference 2026 (WWW
’26). ACM; 2026.'
apa: Das, P., & Heindorf, S. (2026). Discrete Diffusion-Based Model-Level Explanation
of Heterogeneous GNNs with Node Features. Proceedings of the ACM Web Conference
2026 (WWW ’26). The Web Conference, Dubai, United Arab Emirates.
bibtex: '@inproceedings{Das_Heindorf_2026, title={Discrete Diffusion-Based Model-Level
Explanation of Heterogeneous GNNs with Node Features}, booktitle={Proceedings
of the ACM Web Conference 2026 (WWW ’26)}, publisher={ACM}, author={Das, Pallabee
and Heindorf, Stefan}, year={2026} }'
chicago: Das, Pallabee, and Stefan Heindorf. “Discrete Diffusion-Based Model-Level
Explanation of Heterogeneous GNNs with Node Features.” In Proceedings of the
ACM Web Conference 2026 (WWW ’26). ACM, 2026.
ieee: P. Das and S. Heindorf, “Discrete Diffusion-Based Model-Level Explanation
of Heterogeneous GNNs with Node Features,” presented at the The Web Conference,
Dubai, United Arab Emirates, 2026.
mla: Das, Pallabee, and Stefan Heindorf. “Discrete Diffusion-Based Model-Level Explanation
of Heterogeneous GNNs with Node Features.” Proceedings of the ACM Web Conference
2026 (WWW ’26), ACM, 2026.
short: 'P. Das, S. Heindorf, in: Proceedings of the ACM Web Conference 2026 (WWW
’26), ACM, 2026.'
conference:
end_date: 2026-04-17
location: Dubai, United Arab Emirates
name: The Web Conference
start_date: 2026-04-13
date_created: 2026-02-06T18:44:34Z
date_updated: 2026-02-06T18:47:38Z
department:
- _id: '760'
external_id:
arxiv:
- '2508.08458'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/pdf/2508.08458
oa: '1'
publication: Proceedings of the ACM Web Conference 2026 (WWW ’26)
publisher: ACM
status: public
title: Discrete Diffusion-Based Model-Level Explanation of Heterogeneous GNNs with
Node Features
type: conference
user_id: '11871'
year: '2026'
...
---
_id: '54450'
abstract:
- lang: eng
text: In the last decade, there has been increasing interest in allowing users to
understand how the predictions of machine-learned models come about, thus increasing
transparency and empowering users to understand and potentially contest those
decisions.Dialogue-based approaches, in contrast to traditional one-shot eXplainable
Artificial Intelligence (XAI) methods, facilitate interactive, in-depth exploration
through multi-turn dialogues, simulating expert conversations. This paper reviews
the current state of dialogue-based XAI, presenting a systematic review of 1,339
publications, narrowed down to 14 based on inclusion criteria. We explore theoretical
foundations of the systems, propose key dimensions along which different solutions
to dialogue-based XAI differ, and identify key use cases, target audiences, system
components, and the types of supported queries and responses. Furthermore, we
investigate the current paradigms by which systems are evaluated and highlight
their key limitations. Key findings include identifying the main use cases, objectives,
and audiences targeted by dialogue-based XAI methods, and summarize the main types
of questions and information needs. Beyond discussing avenues for future work,
we present a meta-architecture for these systems from existing literature and
outlined prevalent theoretical frameworks.
article_number: '81'
author:
- first_name: Dimitry
full_name: Mindlin, Dimitry
last_name: Mindlin
- first_name: Fabian
full_name: Beer, Fabian
last_name: Beer
- first_name: Leonie Nora
full_name: Sieger, Leonie Nora
id: '93402'
last_name: Sieger
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Philipp
full_name: Cimiano, Philipp
last_name: Cimiano
- first_name: Elena
full_name: Esposito, Elena
last_name: Esposito
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Mindlin D, Beer F, Sieger LN, et al. Beyond One-Shot Explanations: A Systematic
Literature Review of Dialogue-Based XAI Approaches. Artificial Intelligence
Review. 2025;58(3). doi:10.1007/s10462-024-11007-7'
apa: 'Mindlin, D., Beer, F., Sieger, L. N., Heindorf, S., Cimiano, P., Esposito,
E., & Ngonga Ngomo, A.-C. (2025). Beyond One-Shot Explanations: A Systematic
Literature Review of Dialogue-Based XAI Approaches. Artificial Intelligence
Review, 58(3), Article 81. https://doi.org/10.1007/s10462-024-11007-7'
bibtex: '@article{Mindlin_Beer_Sieger_Heindorf_Cimiano_Esposito_Ngonga Ngomo_2025,
title={Beyond One-Shot Explanations: A Systematic Literature Review of Dialogue-Based
XAI Approaches}, volume={58}, DOI={10.1007/s10462-024-11007-7},
number={381}, journal={Artificial Intelligence Review}, publisher={Springer},
author={Mindlin, Dimitry and Beer, Fabian and Sieger, Leonie Nora and Heindorf,
Stefan and Cimiano, Philipp and Esposito, Elena and Ngonga Ngomo, Axel-Cyrille},
year={2025} }'
chicago: 'Mindlin, Dimitry, Fabian Beer, Leonie Nora Sieger, Stefan Heindorf, Philipp
Cimiano, Elena Esposito, and Axel-Cyrille Ngonga Ngomo. “Beyond One-Shot Explanations:
A Systematic Literature Review of Dialogue-Based XAI Approaches.” Artificial
Intelligence Review 58, no. 3 (2025). https://doi.org/10.1007/s10462-024-11007-7.'
ieee: 'D. Mindlin et al., “Beyond One-Shot Explanations: A Systematic Literature
Review of Dialogue-Based XAI Approaches,” Artificial Intelligence Review,
vol. 58, no. 3, Art. no. 81, 2025, doi: 10.1007/s10462-024-11007-7.'
mla: 'Mindlin, Dimitry, et al. “Beyond One-Shot Explanations: A Systematic Literature
Review of Dialogue-Based XAI Approaches.” Artificial Intelligence Review,
vol. 58, no. 3, 81, Springer, 2025, doi:10.1007/s10462-024-11007-7.'
short: D. Mindlin, F. Beer, L.N. Sieger, S. Heindorf, P. Cimiano, E. Esposito, A.-C.
Ngonga Ngomo, Artificial Intelligence Review 58 (2025).
date_created: 2024-05-26T18:55:58Z
date_updated: 2025-01-24T20:09:20Z
department:
- _id: '760'
- _id: '574'
doi: 10.1007/s10462-024-11007-7
intvolume: ' 58'
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://link.springer.com/article/10.1007/s10462-024-11007-7
oa: '1'
publication: Artificial Intelligence Review
publication_status: published
publisher: Springer
status: public
title: 'Beyond One-Shot Explanations: A Systematic Literature Review of Dialogue-Based
XAI Approaches'
type: journal_article
user_id: '11871'
volume: 58
year: '2025'
...
---
_id: '63624'
citation:
ama: 'CQD-SHAP: Explainable Complex Query Answering via Shapley Values. Published
online 2025. doi:10.48550/ARXIV.2510.15623'
apa: 'CQD-SHAP: Explainable Complex Query Answering via Shapley Values. (2025).
https://doi.org/10.48550/ARXIV.2510.15623'
bibtex: '@article{CQD-SHAP: Explainable Complex Query Answering via Shapley Values_2025,
DOI={10.48550/ARXIV.2510.15623},
year={2025} }'
chicago: '“CQD-SHAP: Explainable Complex Query Answering via Shapley Values,” 2025.
https://doi.org/10.48550/ARXIV.2510.15623.'
ieee: '“CQD-SHAP: Explainable Complex Query Answering via Shapley Values,” 2025,
doi: 10.48550/ARXIV.2510.15623.'
mla: 'CQD-SHAP: Explainable Complex Query Answering via Shapley Values. 2025,
doi:10.48550/ARXIV.2510.15623.'
short: (2025).
date_created: 2026-01-15T10:24:06Z
date_updated: 2026-01-15T10:24:29Z
department:
- _id: '760'
doi: 10.48550/ARXIV.2510.15623
status: public
title: 'CQD-SHAP: Explainable Complex Query Answering via Shapley Values'
type: journal_article
user_id: '114220'
year: '2025'
...
---
_id: '63807'
author:
- first_name: Andrea
full_name: Dettelbach, Andrea
id: '31391'
last_name: Dettelbach
citation:
ama: 'Dettelbach A. Rechnen mit Beziehungen - operative Beziehungen erkennen, beschreiben
und nutzen. Entwicklung einer digitalbasierten Lernumgebung mit der App Rechenfeld.
In: Schick L, Platz M, Lambert A, Gesellschaft für Mathematik, eds. Beiträge
zum Mathematikunterricht 2025 . Band 2. WTM - Verlag für wissenschaftliche
Texte und Medien; 2025:634-637. doi:10.37626/GA9783959873307.0'
apa: Dettelbach, A. (2025). Rechnen mit Beziehungen - operative Beziehungen erkennen,
beschreiben und nutzen. Entwicklung einer digitalbasierten Lernumgebung mit der
App Rechenfeld. In L. Schick, M. Platz, A. Lambert, & Gesellschaft für Mathematik
(Eds.), Beiträge zum Mathematikunterricht 2025 (pp. 634–637). WTM - Verlag
für wissenschaftliche Texte und Medien. https://doi.org/10.37626/GA9783959873307.0
bibtex: '@inbook{Dettelbach_2025, place={Münster}, series={Band 2}, title={Rechnen
mit Beziehungen - operative Beziehungen erkennen, beschreiben und nutzen. Entwicklung
einer digitalbasierten Lernumgebung mit der App Rechenfeld}, DOI={10.37626/GA9783959873307.0},
booktitle={Beiträge zum Mathematikunterricht 2025 }, publisher={WTM - Verlag für
wissenschaftliche Texte und Medien}, author={Dettelbach, Andrea}, editor={Schick,
Lisa and Platz, Melanie and Lambert, Anselm and Gesellschaft für Mathematik},
year={2025}, pages={634–637}, collection={Band 2} }'
chicago: 'Dettelbach, Andrea. “Rechnen mit Beziehungen - operative Beziehungen erkennen,
beschreiben und nutzen. Entwicklung einer digitalbasierten Lernumgebung mit der
App Rechenfeld.” In Beiträge zum Mathematikunterricht 2025 , edited by
Lisa Schick, Melanie Platz, Anselm Lambert, and Gesellschaft für Mathematik, 634–37.
Band 2. Münster: WTM - Verlag für wissenschaftliche Texte und Medien, 2025. https://doi.org/10.37626/GA9783959873307.0.'
ieee: 'A. Dettelbach, “Rechnen mit Beziehungen - operative Beziehungen erkennen,
beschreiben und nutzen. Entwicklung einer digitalbasierten Lernumgebung mit der
App Rechenfeld,” in Beiträge zum Mathematikunterricht 2025 , L. Schick,
M. Platz, A. Lambert, and Gesellschaft für Mathematik, Eds. Münster: WTM - Verlag
für wissenschaftliche Texte und Medien, 2025, pp. 634–637.'
mla: Dettelbach, Andrea. “Rechnen mit Beziehungen - operative Beziehungen erkennen,
beschreiben und nutzen. Entwicklung einer digitalbasierten Lernumgebung mit der
App Rechenfeld.” Beiträge zum Mathematikunterricht 2025 , edited by Lisa
Schick et al., WTM - Verlag für wissenschaftliche Texte und Medien, 2025, pp.
634–37, doi:10.37626/GA9783959873307.0.
short: 'A. Dettelbach, in: L. Schick, M. Platz, A. Lambert, Gesellschaft für Mathematik
(Eds.), Beiträge zum Mathematikunterricht 2025 , WTM - Verlag für wissenschaftliche
Texte und Medien, Münster, 2025, pp. 634–637.'
conference:
end_date: 2025-03-07
location: Saarbrücken
name: '58. Jahrestagung der Gesellschaft für Mathematik '
start_date: 2025-03-03
corporate_editor:
- Gesellschaft für Mathematik
date_created: 2026-01-29T10:30:52Z
date_updated: 2026-01-29T10:40:37Z
ddc:
- '510'
department:
- _id: '917'
doi: 10.37626/GA9783959873307.0
editor:
- first_name: Lisa
full_name: Schick, Lisa
last_name: Schick
- first_name: Melanie
full_name: Platz, Melanie
last_name: Platz
- first_name: Anselm
full_name: Lambert, Anselm
last_name: Lambert
file:
- access_level: closed
content_type: application/pdf
creator: andreade
date_created: 2026-01-29T10:26:33Z
date_updated: 2026-01-29T10:26:33Z
file_id: '63808'
file_name: BzMu25_DETTELBACH_Rechenfeld.pdf
file_size: 1863647
relation: main_file
success: 1
file_date_updated: 2026-01-29T10:26:33Z
has_accepted_license: '1'
language:
- iso: ger
page: 634 - 637
place: Münster
publication: 'Beiträge zum Mathematikunterricht 2025 '
publication_identifier:
unknown:
- 978-3-95987-329-1
publication_status: published
publisher: WTM - Verlag für wissenschaftliche Texte und Medien
series_title: Band 2
status: public
title: Rechnen mit Beziehungen - operative Beziehungen erkennen, beschreiben und nutzen.
Entwicklung einer digitalbasierten Lernumgebung mit der App Rechenfeld
type: book_chapter
user_id: '31391'
year: '2025'
...
---
_id: '62707'
author:
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Daniel
full_name: Neib, Daniel
last_name: Neib
citation:
ama: 'Heindorf S, Neib D. Assessing Natural Language Explanations of Relational
Graph Neural Networks. In: Proceedings of the 34th ACM International Conference
on Information and Knowledge Management. ACM; 2025. doi:10.1145/3746252.3760918'
apa: Heindorf, S., & Neib, D. (2025). Assessing Natural Language Explanations
of Relational Graph Neural Networks. Proceedings of the 34th ACM International
Conference on Information and Knowledge Management. https://doi.org/10.1145/3746252.3760918
bibtex: '@inproceedings{Heindorf_Neib_2025, title={Assessing Natural Language Explanations
of Relational Graph Neural Networks}, DOI={10.1145/3746252.3760918},
booktitle={Proceedings of the 34th ACM International Conference on Information
and Knowledge Management}, publisher={ACM}, author={Heindorf, Stefan and Neib,
Daniel}, year={2025} }'
chicago: Heindorf, Stefan, and Daniel Neib. “Assessing Natural Language Explanations
of Relational Graph Neural Networks.” In Proceedings of the 34th ACM International
Conference on Information and Knowledge Management. ACM, 2025. https://doi.org/10.1145/3746252.3760918.
ieee: 'S. Heindorf and D. Neib, “Assessing Natural Language Explanations of Relational
Graph Neural Networks,” 2025, doi: 10.1145/3746252.3760918.'
mla: Heindorf, Stefan, and Daniel Neib. “Assessing Natural Language Explanations
of Relational Graph Neural Networks.” Proceedings of the 34th ACM International
Conference on Information and Knowledge Management, ACM, 2025, doi:10.1145/3746252.3760918.
short: 'S. Heindorf, D. Neib, in: Proceedings of the 34th ACM International Conference
on Information and Knowledge Management, ACM, 2025.'
date_created: 2025-11-28T15:36:11Z
date_updated: 2025-11-28T15:36:57Z
department:
- _id: '760'
doi: 10.1145/3746252.3760918
language:
- iso: eng
publication: Proceedings of the 34th ACM International Conference on Information and
Knowledge Management
publication_status: published
publisher: ACM
status: public
title: Assessing Natural Language Explanations of Relational Graph Neural Networks
type: conference
user_id: '11871'
year: '2025'
...
---
_id: '63507'
author:
- first_name: Gaurav
full_name: Pandit, Gaurav
last_name: Pandit
- first_name: Michael
full_name: Röder, Michael
id: '67199'
last_name: Röder
orcid: https://orcid.org/0000-0002-8609-8277
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Pandit G, Röder M, Ngonga Ngomo A-C. Evaluating Approximate Nearest Neighbour
Search Systems on Knowledge Graph Embeddings. In: Lecture Notes in Computer
Science. Springer Nature Switzerland; 2025. doi:10.1007/978-3-031-94575-5_4'
apa: Pandit, G., Röder, M., & Ngonga Ngomo, A.-C. (2025). Evaluating Approximate
Nearest Neighbour Search Systems on Knowledge Graph Embeddings. In Lecture
Notes in Computer Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-94575-5_4
bibtex: '@inbook{Pandit_Röder_Ngonga Ngomo_2025, place={Cham}, title={Evaluating
Approximate Nearest Neighbour Search Systems on Knowledge Graph Embeddings}, DOI={10.1007/978-3-031-94575-5_4},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Pandit, Gaurav and Röder, Michael and Ngonga Ngomo, Axel-Cyrille}, year={2025}
}'
chicago: 'Pandit, Gaurav, Michael Röder, and Axel-Cyrille Ngonga Ngomo. “Evaluating
Approximate Nearest Neighbour Search Systems on Knowledge Graph Embeddings.” In
Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2025.
https://doi.org/10.1007/978-3-031-94575-5_4.'
ieee: 'G. Pandit, M. Röder, and A.-C. Ngonga Ngomo, “Evaluating Approximate Nearest
Neighbour Search Systems on Knowledge Graph Embeddings,” in Lecture Notes in
Computer Science, Cham: Springer Nature Switzerland, 2025.'
mla: Pandit, Gaurav, et al. “Evaluating Approximate Nearest Neighbour Search Systems
on Knowledge Graph Embeddings.” Lecture Notes in Computer Science, Springer
Nature Switzerland, 2025, doi:10.1007/978-3-031-94575-5_4.
short: 'G. Pandit, M. Röder, A.-C. Ngonga Ngomo, in: Lecture Notes in Computer Science,
Springer Nature Switzerland, Cham, 2025.'
date_created: 2026-01-06T09:53:58Z
date_updated: 2026-01-06T09:55:26Z
department:
- _id: '574'
- _id: '923'
doi: 10.1007/978-3-031-94575-5_4
language:
- iso: eng
place: Cham
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783031945748'
- '9783031945755'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Evaluating Approximate Nearest Neighbour Search Systems on Knowledge Graph
Embeddings
type: book_chapter
user_id: '67199'
year: '2025'
...
---
_id: '63572'
author:
- first_name: Caglar
full_name: Demir, Caglar
id: '43817'
last_name: Demir
- first_name: Moshood Olawale
full_name: Yekini, Moshood Olawale
id: '114533'
last_name: Yekini
- first_name: Michael
full_name: Röder, Michael
id: '67199'
last_name: Röder
orcid: https://orcid.org/0000-0002-8609-8277
- first_name: Yasir
full_name: Mahmood, Yasir
id: '99353'
last_name: Mahmood
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Demir C, Yekini MO, Röder M, Mahmood Y, Ngonga Ngomo A-C. Tree-Based OWL Class
Expression Learner over Large Graphs. In: Lecture Notes in Computer Science.
Springer Nature Switzerland; 2025. doi:10.1007/978-3-032-06066-2_29'
apa: Demir, C., Yekini, M. O., Röder, M., Mahmood, Y., & Ngonga Ngomo, A.-C.
(2025). Tree-Based OWL Class Expression Learner over Large Graphs. Lecture
Notes in Computer Science. European Conference on Machine Learning and Principles
and Practice of Knowledge Discovery in Databases, Porto. https://doi.org/10.1007/978-3-032-06066-2_29
bibtex: '@inproceedings{Demir_Yekini_Röder_Mahmood_Ngonga Ngomo_2025, place={Cham},
title={Tree-Based OWL Class Expression Learner over Large Graphs}, DOI={10.1007/978-3-032-06066-2_29},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Demir, Caglar and Yekini, Moshood Olawale and Röder, Michael and Mahmood,
Yasir and Ngonga Ngomo, Axel-Cyrille}, year={2025} }'
chicago: 'Demir, Caglar, Moshood Olawale Yekini, Michael Röder, Yasir Mahmood, and
Axel-Cyrille Ngonga Ngomo. “Tree-Based OWL Class Expression Learner over Large
Graphs.” In Lecture Notes in Computer Science. Cham: Springer Nature Switzerland,
2025. https://doi.org/10.1007/978-3-032-06066-2_29.'
ieee: 'C. Demir, M. O. Yekini, M. Röder, Y. Mahmood, and A.-C. Ngonga Ngomo, “Tree-Based
OWL Class Expression Learner over Large Graphs,” presented at the European Conference
on Machine Learning and Principles and Practice of Knowledge Discovery in Databases,
Porto, 2025, doi: 10.1007/978-3-032-06066-2_29.'
mla: Demir, Caglar, et al. “Tree-Based OWL Class Expression Learner over Large Graphs.”
Lecture Notes in Computer Science, Springer Nature Switzerland, 2025, doi:10.1007/978-3-032-06066-2_29.
short: 'C. Demir, M.O. Yekini, M. Röder, Y. Mahmood, A.-C. Ngonga Ngomo, in: Lecture
Notes in Computer Science, Springer Nature Switzerland, Cham, 2025.'
conference:
end_date: 2025-09-19
location: Porto
name: European Conference on Machine Learning and Principles and Practice of Knowledge
Discovery in Databases
start_date: 2025-09-15
date_created: 2026-01-12T17:13:22Z
date_updated: 2026-01-12T17:17:07Z
department:
- _id: '574'
- _id: '923'
doi: 10.1007/978-3-032-06066-2_29
language:
- iso: eng
place: Cham
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783032060655'
- '9783032060662'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Tree-Based OWL Class Expression Learner over Large Graphs
type: conference
user_id: '67199'
year: '2025'
...
---
_id: '63575'
author:
- first_name: Sourabh
full_name: Kapoor, Sourabh
last_name: Kapoor
- first_name: Arnab
full_name: Sharma, Arnab
id: '67200'
last_name: Sharma
- first_name: Michael
full_name: Röder, Michael
id: '67199'
last_name: Röder
orcid: https://orcid.org/0000-0002-8609-8277
- first_name: Caglar
full_name: Demir, Caglar
id: '43817'
last_name: Demir
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Kapoor S, Sharma A, Röder M, Demir C, Ngonga Ngomo A-C. Robustness Evaluation
of Knowledge Graph Embedding Models Under Non-targeted Attacks. In: Lecture
Notes in Computer Science. Springer Nature Switzerland; 2025. doi:10.1007/978-3-031-94575-5_15'
apa: Kapoor, S., Sharma, A., Röder, M., Demir, C., & Ngonga Ngomo, A.-C. (2025).
Robustness Evaluation of Knowledge Graph Embedding Models Under Non-targeted Attacks.
Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-031-94575-5_15
bibtex: '@inproceedings{Kapoor_Sharma_Röder_Demir_Ngonga Ngomo_2025, place={Cham},
title={Robustness Evaluation of Knowledge Graph Embedding Models Under Non-targeted
Attacks}, DOI={10.1007/978-3-031-94575-5_15},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Kapoor, Sourabh and Sharma, Arnab and Röder, Michael and Demir, Caglar
and Ngonga Ngomo, Axel-Cyrille}, year={2025} }'
chicago: 'Kapoor, Sourabh, Arnab Sharma, Michael Röder, Caglar Demir, and Axel-Cyrille
Ngonga Ngomo. “Robustness Evaluation of Knowledge Graph Embedding Models Under
Non-Targeted Attacks.” In Lecture Notes in Computer Science. Cham: Springer
Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-94575-5_15.'
ieee: 'S. Kapoor, A. Sharma, M. Röder, C. Demir, and A.-C. Ngonga Ngomo, “Robustness
Evaluation of Knowledge Graph Embedding Models Under Non-targeted Attacks,” 2025,
doi: 10.1007/978-3-031-94575-5_15.'
mla: Kapoor, Sourabh, et al. “Robustness Evaluation of Knowledge Graph Embedding
Models Under Non-Targeted Attacks.” Lecture Notes in Computer Science,
Springer Nature Switzerland, 2025, doi:10.1007/978-3-031-94575-5_15.
short: 'S. Kapoor, A. Sharma, M. Röder, C. Demir, A.-C. Ngonga Ngomo, in: Lecture
Notes in Computer Science, Springer Nature Switzerland, Cham, 2025.'
date_created: 2026-01-12T17:24:11Z
date_updated: 2026-01-12T17:24:49Z
department:
- _id: '574'
- _id: '923'
doi: 10.1007/978-3-031-94575-5_15
language:
- iso: eng
place: Cham
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783031945748'
- '9783031945755'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Robustness Evaluation of Knowledge Graph Embedding Models Under Non-targeted
Attacks
type: conference
user_id: '67199'
year: '2025'
...
---
_id: '63573'
author:
- first_name: Adel
full_name: Memariani, Adel
last_name: Memariani
- first_name: Michael
full_name: Röder, Michael
id: '67199'
last_name: Röder
orcid: https://orcid.org/0000-0002-8609-8277
- first_name: Arnab
full_name: Sharma, Arnab
id: '67200'
last_name: Sharma
- first_name: Caglar
full_name: Demir, Caglar
id: '43817'
last_name: Demir
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Memariani A, Röder M, Sharma A, Demir C, Ngonga Ngomo A-C. Link Prediction
Under Non-targeted Attacks: Do Soft Labels Always Help? In: Lecture Notes in
Computer Science. Springer Nature Switzerland; 2025. doi:10.1007/978-3-032-09527-5_6'
apa: 'Memariani, A., Röder, M., Sharma, A., Demir, C., & Ngonga Ngomo, A.-C.
(2025). Link Prediction Under Non-targeted Attacks: Do Soft Labels Always Help?
Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-032-09527-5_6'
bibtex: '@inproceedings{Memariani_Röder_Sharma_Demir_Ngonga Ngomo_2025, place={Cham},
title={Link Prediction Under Non-targeted Attacks: Do Soft Labels Always Help?},
DOI={10.1007/978-3-032-09527-5_6},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Memariani, Adel and Röder, Michael and Sharma, Arnab and Demir, Caglar
and Ngonga Ngomo, Axel-Cyrille}, year={2025} }'
chicago: 'Memariani, Adel, Michael Röder, Arnab Sharma, Caglar Demir, and Axel-Cyrille
Ngonga Ngomo. “Link Prediction Under Non-Targeted Attacks: Do Soft Labels Always
Help?” In Lecture Notes in Computer Science. Cham: Springer Nature Switzerland,
2025. https://doi.org/10.1007/978-3-032-09527-5_6.'
ieee: 'A. Memariani, M. Röder, A. Sharma, C. Demir, and A.-C. Ngonga Ngomo, “Link
Prediction Under Non-targeted Attacks: Do Soft Labels Always Help?,” 2025, doi:
10.1007/978-3-032-09527-5_6.'
mla: 'Memariani, Adel, et al. “Link Prediction Under Non-Targeted Attacks: Do Soft
Labels Always Help?” Lecture Notes in Computer Science, Springer Nature
Switzerland, 2025, doi:10.1007/978-3-032-09527-5_6.'
short: 'A. Memariani, M. Röder, A. Sharma, C. Demir, A.-C. Ngonga Ngomo, in: Lecture
Notes in Computer Science, Springer Nature Switzerland, Cham, 2025.'
date_created: 2026-01-12T17:18:35Z
date_updated: 2026-01-12T17:24:46Z
department:
- _id: '574'
- _id: '923'
doi: 10.1007/978-3-032-09527-5_6
language:
- iso: eng
place: Cham
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783032095268'
- '9783032095275'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: 'Link Prediction Under Non-targeted Attacks: Do Soft Labels Always Help?'
type: conference
user_id: '67199'
year: '2025'
...
---
_id: '63574'
author:
- first_name: Quannian
full_name: Zhang, Quannian
id: '104099'
last_name: Zhang
orcid: 0009-0008-9497-3204
- first_name: Michael
full_name: Röder, Michael
id: '67199'
last_name: Röder
orcid: https://orcid.org/0000-0002-8609-8277
- first_name: Nikit
full_name: Srivastava, Nikit
id: '70066'
last_name: Srivastava
orcid: 0009-0004-5164-4911
- first_name: N'Dah Jean
full_name: KOUAGOU, N'Dah Jean
id: '87189'
last_name: KOUAGOU
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Zhang Q, Röder M, Srivastava N, KOUAGOU NJ, Ngonga Ngomo A-C. Explainable
Benchmarking through the Lense of Concept Learning. In: Proceedings of the
Knowledge Capture Conference 2025. ACM; 2025. doi:10.1145/3731443.3771359'
apa: Zhang, Q., Röder, M., Srivastava, N., KOUAGOU, N. J., & Ngonga Ngomo, A.-C.
(2025). Explainable Benchmarking through the Lense of Concept Learning. Proceedings
of the Knowledge Capture Conference 2025. https://doi.org/10.1145/3731443.3771359
bibtex: '@inproceedings{Zhang_Röder_Srivastava_KOUAGOU_Ngonga Ngomo_2025, title={Explainable
Benchmarking through the Lense of Concept Learning}, DOI={10.1145/3731443.3771359},
booktitle={Proceedings of the Knowledge Capture Conference 2025}, publisher={ACM},
author={Zhang, Quannian and Röder, Michael and Srivastava, Nikit and KOUAGOU,
N’Dah Jean and Ngonga Ngomo, Axel-Cyrille}, year={2025} }'
chicago: Zhang, Quannian, Michael Röder, Nikit Srivastava, N’Dah Jean KOUAGOU, and
Axel-Cyrille Ngonga Ngomo. “Explainable Benchmarking through the Lense of Concept
Learning.” In Proceedings of the Knowledge Capture Conference 2025. ACM,
2025. https://doi.org/10.1145/3731443.3771359.
ieee: 'Q. Zhang, M. Röder, N. Srivastava, N. J. KOUAGOU, and A.-C. Ngonga Ngomo,
“Explainable Benchmarking through the Lense of Concept Learning,” 2025, doi: 10.1145/3731443.3771359.'
mla: Zhang, Quannian, et al. “Explainable Benchmarking through the Lense of Concept
Learning.” Proceedings of the Knowledge Capture Conference 2025, ACM, 2025,
doi:10.1145/3731443.3771359.
short: 'Q. Zhang, M. Röder, N. Srivastava, N.J. KOUAGOU, A.-C. Ngonga Ngomo, in:
Proceedings of the Knowledge Capture Conference 2025, ACM, 2025.'
date_created: 2026-01-12T17:21:05Z
date_updated: 2026-01-12T17:25:00Z
department:
- _id: '574'
- _id: '923'
doi: 10.1145/3731443.3771359
language:
- iso: eng
publication: Proceedings of the Knowledge Capture Conference 2025
publication_status: published
publisher: ACM
status: public
title: Explainable Benchmarking through the Lense of Concept Learning
type: conference
user_id: '67199'
year: '2025'
...
---
_id: '54449'
author:
- first_name: N'Dah Jean
full_name: KOUAGOU, N'Dah Jean
id: '87189'
last_name: KOUAGOU
- first_name: Caglar
full_name: Demir, Caglar
id: '43817'
last_name: Demir
- first_name: Hamada Mohamed Abdelsamee
full_name: Zahera, Hamada Mohamed Abdelsamee
id: '72768'
last_name: Zahera
orcid: 0000-0003-0215-1278
- first_name: Adrian
full_name: Wilke, Adrian
id: '9101'
last_name: Wilke
orcid: 0000-0002-6575-807X
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Jiayi
full_name: Li, Jiayi
last_name: Li
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'KOUAGOU NJ, Demir C, Zahera HMA, et al. Universal Knowledge Graph Embeddings.
In: Companion Proceedings of the ACM on Web Conference 2024. ACM; 2024.
doi:10.1145/3589335.3651978'
apa: KOUAGOU, N. J., Demir, C., Zahera, H. M. A., Wilke, A., Heindorf, S., Li, J.,
& Ngonga Ngomo, A.-C. (2024). Universal Knowledge Graph Embeddings. Companion
Proceedings of the ACM on Web Conference 2024. Companion Proceedings of the
ACM on Web Conference 2024, Singapore. https://doi.org/10.1145/3589335.3651978
bibtex: '@inproceedings{KOUAGOU_Demir_Zahera_Wilke_Heindorf_Li_Ngonga Ngomo_2024,
title={Universal Knowledge Graph Embeddings}, DOI={10.1145/3589335.3651978},
booktitle={Companion Proceedings of the ACM on Web Conference 2024}, publisher={ACM},
author={KOUAGOU, N’Dah Jean and Demir, Caglar and Zahera, Hamada Mohamed Abdelsamee
and Wilke, Adrian and Heindorf, Stefan and Li, Jiayi and Ngonga Ngomo, Axel-Cyrille},
year={2024} }'
chicago: KOUAGOU, N’Dah Jean, Caglar Demir, Hamada Mohamed Abdelsamee Zahera, Adrian
Wilke, Stefan Heindorf, Jiayi Li, and Axel-Cyrille Ngonga Ngomo. “Universal Knowledge
Graph Embeddings.” In Companion Proceedings of the ACM on Web Conference 2024.
ACM, 2024. https://doi.org/10.1145/3589335.3651978.
ieee: 'N. J. KOUAGOU et al., “Universal Knowledge Graph Embeddings,” presented
at the Companion Proceedings of the ACM on Web Conference 2024, Singapore, 2024,
doi: 10.1145/3589335.3651978.'
mla: KOUAGOU, N’Dah Jean, et al. “Universal Knowledge Graph Embeddings.” Companion
Proceedings of the ACM on Web Conference 2024, ACM, 2024, doi:10.1145/3589335.3651978.
short: 'N.J. KOUAGOU, C. Demir, H.M.A. Zahera, A. Wilke, S. Heindorf, J. Li, A.-C.
Ngonga Ngomo, in: Companion Proceedings of the ACM on Web Conference 2024, ACM,
2024.'
conference:
end_date: 2024-05-17
location: Singapore
name: Companion Proceedings of the ACM on Web Conference 2024
start_date: 2024-05-13
date_created: 2024-05-26T18:52:47Z
date_updated: 2024-05-26T19:06:10Z
department:
- _id: '760'
- _id: '574'
doi: 10.1145/3589335.3651978
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://dl.acm.org/doi/abs/10.1145/3589335.3651978
oa: '1'
publication: Companion Proceedings of the ACM on Web Conference 2024
publication_status: published
publisher: ACM
status: public
title: Universal Knowledge Graph Embeddings
type: conference
user_id: '11871'
year: '2024'
...
---
_id: '54448'
abstract:
- lang: eng
text: "Graph Neural Networks (GNNs) are effective for node classification in\r\ngraph-structured
data, but they lack explainability, especially at the global\r\nlevel. Current
research mainly utilizes subgraphs of the input as local\r\nexplanations or generates
new graphs as global explanations. However, these\r\ngraph-based methods are limited
in their ability to explain classes with\r\nmultiple sufficient explanations.
To provide more expressive explanations, we\r\npropose utilizing class expressions
(CEs) from the field of description logic\r\n(DL). Our approach explains heterogeneous
graphs with different types of nodes\r\nusing CEs in the EL description logic.
To identify the best explanation among\r\nmultiple candidate explanations, we
employ and compare two different scoring\r\nfunctions: (1) For a given CE, we
construct multiple graphs, have the GNN make\r\na prediction for each graph, and
aggregate the predicted scores. (2) We score\r\nthe CE in terms of fidelity, i.e.,
we compare the predictions of the GNN to the\r\npredictions by the CE on a separate
validation set. Instead of subgraph-based\r\nexplanations, we offer CE-based explanations."
author:
- first_name: Dominik
full_name: Köhler, Dominik
last_name: Köhler
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
citation:
ama: Köhler D, Heindorf S. Utilizing Description Logics for Global Explanations
of Heterogeneous Graph Neural Networks. arXiv:240512654. Published online
2024.
apa: Köhler, D., & Heindorf, S. (2024). Utilizing Description Logics for Global
Explanations of Heterogeneous Graph Neural Networks. In arXiv:2405.12654.
bibtex: '@article{Köhler_Heindorf_2024, title={Utilizing Description Logics for
Global Explanations of Heterogeneous Graph Neural Networks}, journal={arXiv:2405.12654},
author={Köhler, Dominik and Heindorf, Stefan}, year={2024} }'
chicago: Köhler, Dominik, and Stefan Heindorf. “Utilizing Description Logics for
Global Explanations of Heterogeneous Graph Neural Networks.” ArXiv:2405.12654,
2024.
ieee: D. Köhler and S. Heindorf, “Utilizing Description Logics for Global Explanations
of Heterogeneous Graph Neural Networks,” arXiv:2405.12654. 2024.
mla: Köhler, Dominik, and Stefan Heindorf. “Utilizing Description Logics for Global
Explanations of Heterogeneous Graph Neural Networks.” ArXiv:2405.12654,
2024.
short: D. Köhler, S. Heindorf, ArXiv:2405.12654 (2024).
date_created: 2024-05-26T18:49:59Z
date_updated: 2024-05-26T19:04:55Z
department:
- _id: '760'
external_id:
arxiv:
- '2405.12654'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2405.12654
oa: '1'
publication: arXiv:2405.12654
status: public
title: Utilizing Description Logics for Global Explanations of Heterogeneous Graph
Neural Networks
type: preprint
user_id: '11871'
year: '2024'
...
---
_id: '52231'
author:
- first_name: Lukas
full_name: Blübaum, Lukas
last_name: Blübaum
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
citation:
ama: 'Blübaum L, Heindorf S. Causal Question Answering with Reinforcement Learning.
In: The World Wide Web Conference (WWW). ACM; :2204–2215. doi:10.1145/3589334.3645610'
apa: Blübaum, L., & Heindorf, S. (n.d.). Causal Question Answering with Reinforcement
Learning. The World Wide Web Conference (WWW), 2204–2215. https://doi.org/10.1145/3589334.3645610
bibtex: '@inproceedings{Blübaum_Heindorf, title={Causal Question Answering with
Reinforcement Learning}, DOI={10.1145/3589334.3645610},
booktitle={The World Wide Web Conference (WWW)}, publisher={ACM}, author={Blübaum,
Lukas and Heindorf, Stefan}, pages={2204–2215} }'
chicago: Blübaum, Lukas, and Stefan Heindorf. “Causal Question Answering with Reinforcement
Learning.” In The World Wide Web Conference (WWW), 2204–2215. ACM, n.d.
https://doi.org/10.1145/3589334.3645610.
ieee: 'L. Blübaum and S. Heindorf, “Causal Question Answering with Reinforcement
Learning,” in The World Wide Web Conference (WWW), Singapore, pp. 2204–2215,
doi: 10.1145/3589334.3645610.'
mla: Blübaum, Lukas, and Stefan Heindorf. “Causal Question Answering with Reinforcement
Learning.” The World Wide Web Conference (WWW), ACM, pp. 2204–2215, doi:10.1145/3589334.3645610.
short: 'L. Blübaum, S. Heindorf, in: The World Wide Web Conference (WWW), ACM, n.d.,
pp. 2204–2215.'
conference:
end_date: 2024-05-17
location: Singapore
name: The Web Conference
start_date: 2024-05-13
date_created: 2024-03-01T16:32:39Z
date_updated: 2024-05-26T19:01:34Z
department:
- _id: '760'
doi: 10.1145/3589334.3645610
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2311.02760
oa: '1'
page: 2204–2215
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: The World Wide Web Conference (WWW)
publication_status: accepted
publisher: ACM
status: public
title: Causal Question Answering with Reinforcement Learning
type: conference
user_id: '11871'
year: '2024'
...
---
_id: '56213'
author:
- first_name: Rupesh
full_name: Sapkota, Rupesh
id: '89326'
last_name: Sapkota
- first_name: Dominik
full_name: Köhler, Dominik
last_name: Köhler
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
citation:
ama: 'Sapkota R, Köhler D, Heindorf S. EDGE: Evaluation Framework for Logical vs.
Subgraph Explanations for Node Classifiers on Knowledge Graphs. In: Proceedings
of the 33rd ACM International Conference on Information and Knowledge Management
(CIKM ’24),. ACM; 2024. doi:10.1145/3627673.3679904'
apa: 'Sapkota, R., Köhler, D., & Heindorf, S. (2024). EDGE: Evaluation Framework
for Logical vs. Subgraph Explanations for Node Classifiers on Knowledge Graphs.
Proceedings of the 33rd ACM International Conference on Information and Knowledge
Management (CIKM ’24),. 33rd ACM International Conference on Information and
Knowledge Management, Boise, Idaho, USA. https://doi.org/10.1145/3627673.3679904'
bibtex: '@inproceedings{Sapkota_Köhler_Heindorf_2024, place={Boise, Idaho, USA},
title={EDGE: Evaluation Framework for Logical vs. Subgraph Explanations for Node
Classifiers on Knowledge Graphs}, DOI={10.1145/3627673.3679904},
booktitle={Proceedings of the 33rd ACM International Conference on Information
and Knowledge Management (CIKM ’24),}, publisher={ACM}, author={Sapkota, Rupesh
and Köhler, Dominik and Heindorf, Stefan}, year={2024} }'
chicago: 'Sapkota, Rupesh, Dominik Köhler, and Stefan Heindorf. “EDGE: Evaluation
Framework for Logical vs. Subgraph Explanations for Node Classifiers on Knowledge
Graphs.” In Proceedings of the 33rd ACM International Conference on Information
and Knowledge Management (CIKM ’24),. Boise, Idaho, USA: ACM, 2024. https://doi.org/10.1145/3627673.3679904.'
ieee: 'R. Sapkota, D. Köhler, and S. Heindorf, “EDGE: Evaluation Framework for Logical
vs. Subgraph Explanations for Node Classifiers on Knowledge Graphs,” presented
at the 33rd ACM International Conference on Information and Knowledge Management,
Boise, Idaho, USA, 2024, doi: 10.1145/3627673.3679904.'
mla: 'Sapkota, Rupesh, et al. “EDGE: Evaluation Framework for Logical vs. Subgraph
Explanations for Node Classifiers on Knowledge Graphs.” Proceedings of the
33rd ACM International Conference on Information and Knowledge Management (CIKM
’24), ACM, 2024, doi:10.1145/3627673.3679904.'
short: 'R. Sapkota, D. Köhler, S. Heindorf, in: Proceedings of the 33rd ACM International
Conference on Information and Knowledge Management (CIKM ’24), ACM, Boise, Idaho,
USA, 2024.'
conference:
end_date: 2024-10-25
location: Boise, Idaho, USA
name: 33rd ACM International Conference on Information and Knowledge Management
start_date: 2024-10-21
date_created: 2024-09-23T12:30:10Z
date_updated: 2024-09-23T12:30:25Z
department:
- _id: '760'
- _id: '574'
doi: 10.1145/3627673.3679904
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://papers.dice-research.org/2024/CIKM_EDGE/public.pdf
oa: '1'
place: Boise, Idaho, USA
project:
- _id: '285'
grant_number: NW21-059D
name: 'SAIL: SAIL - Nachhaltiger Lebenszyklus von intelligenten soziotechnischen
Systemen'
publication: Proceedings of the 33rd ACM International Conference on Information and
Knowledge Management (CIKM ’24),
publisher: ACM
status: public
title: 'EDGE: Evaluation Framework for Logical vs. Subgraph Explanations for Node
Classifiers on Knowledge Graphs'
type: conference
user_id: '11871'
year: '2024'
...
---
_id: '56214'
author:
- first_name: Jiayi
full_name: Li, Jiayi
last_name: Li
- first_name: Sheetal
full_name: Satheesh, Sheetal
last_name: Satheesh
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Diego
full_name: Moussallem, Diego
id: '71635'
last_name: Moussallem
- first_name: René
full_name: Speck, René
id: '70843'
last_name: Speck
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Li J, Satheesh S, Heindorf S, Moussallem D, Speck R, Ngonga Ngomo A-C. AutoCL:
AutoML for Concept Learning. In: Communications in Computer and Information
Science. Springer Nature Switzerland; 2024. doi:10.1007/978-3-031-63787-2_7'
apa: 'Li, J., Satheesh, S., Heindorf, S., Moussallem, D., Speck, R., & Ngonga
Ngomo, A.-C. (2024). AutoCL: AutoML for Concept Learning. In Communications
in Computer and Information Science. The 2nd World Conference on eXplainable
Artificial Intelligence, Malta, Valletta. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-63787-2_7'
bibtex: '@inbook{Li_Satheesh_Heindorf_Moussallem_Speck_Ngonga Ngomo_2024, place={Cham},
title={AutoCL: AutoML for Concept Learning}, DOI={10.1007/978-3-031-63787-2_7},
booktitle={Communications in Computer and Information Science}, publisher={Springer
Nature Switzerland}, author={Li, Jiayi and Satheesh, Sheetal and Heindorf, Stefan
and Moussallem, Diego and Speck, René and Ngonga Ngomo, Axel-Cyrille}, year={2024}
}'
chicago: 'Li, Jiayi, Sheetal Satheesh, Stefan Heindorf, Diego Moussallem, René Speck,
and Axel-Cyrille Ngonga Ngomo. “AutoCL: AutoML for Concept Learning.” In Communications
in Computer and Information Science. Cham: Springer Nature Switzerland, 2024.
https://doi.org/10.1007/978-3-031-63787-2_7.'
ieee: 'J. Li, S. Satheesh, S. Heindorf, D. Moussallem, R. Speck, and A.-C. Ngonga
Ngomo, “AutoCL: AutoML for Concept Learning,” in Communications in Computer
and Information Science, Cham: Springer Nature Switzerland, 2024.'
mla: 'Li, Jiayi, et al. “AutoCL: AutoML for Concept Learning.” Communications
in Computer and Information Science, Springer Nature Switzerland, 2024, doi:10.1007/978-3-031-63787-2_7.'
short: 'J. Li, S. Satheesh, S. Heindorf, D. Moussallem, R. Speck, A.-C. Ngonga Ngomo,
in: Communications in Computer and Information Science, Springer Nature Switzerland,
Cham, 2024.'
conference:
end_date: 2024-07-19
location: Malta, Valletta
name: The 2nd World Conference on eXplainable Artificial Intelligence
start_date: 2024-07-17
date_created: 2024-09-23T12:31:23Z
date_updated: 2024-09-23T12:36:17Z
department:
- _id: '760'
- _id: '574'
doi: 10.1007/978-3-031-63787-2_7
language:
- iso: eng
place: Cham
publication: Communications in Computer and Information Science
publication_identifier:
isbn:
- '9783031637865'
- '9783031637872'
issn:
- 1865-0929
- 1865-0937
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: 'AutoCL: AutoML for Concept Learning'
type: book_chapter
user_id: '11871'
year: '2024'
...
---
_id: '47421'
abstract:
- lang: eng
text: Class expression learning in description logics has long been regarded as
an iterative search problem in an infinite conceptual space. Each iteration of
the search process invokes a reasoner and a heuristic function. The reasoner finds
the instances of the current expression, and the heuristic function computes the
information gain and decides on the next step to be taken. As the size of the
background knowledge base grows, search-based approaches for class expression
learning become prohibitively slow. Current neural class expression synthesis
(NCES) approaches investigate the use of neural networks for class expression
learning in the attributive language with complement (ALC). While they show significant
improvements over search-based approaches in runtime and quality of the computed
solutions, they rely on the availability of pretrained embeddings for the input
knowledge base. Moreover, they are not applicable to ontologies in more expressive
description logics. In this paper, we propose a novel NCES approach which extends
the state of the art to the description logic ALCHIQ(D). Our extension, dubbed
NCES2, comes with an improved training data generator and does not require pretrained
embeddings for the input knowledge base as both the embedding model and the class
expression synthesizer are trained jointly. Empirical results on benchmark datasets
suggest that our approach inherits the scalability capability of current NCES
instances with the additional advantage that it supports more complex learning
problems. NCES2 achieves the highest performance overall when compared to search-based
approaches and to its predecessor NCES. We provide our source code, datasets,
and pretrained models at https://github.com/dice-group/NCES2.
author:
- first_name: N'Dah Jean
full_name: Kouagou, N'Dah Jean
id: '87189'
last_name: Kouagou
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Caglar
full_name: Demir, Caglar
id: '43817'
last_name: Demir
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Kouagou NJ, Heindorf S, Demir C, Ngonga Ngomo A-C. Neural Class Expression
Synthesis in ALCHIQ(D). In: Machine Learning and Knowledge Discovery in Databases:
Research Track. Springer Nature Switzerland; 2023. doi:10.1007/978-3-031-43421-1_12'
apa: 'Kouagou, N. J., Heindorf, S., Demir, C., & Ngonga Ngomo, A.-C. (2023).
Neural Class Expression Synthesis in ALCHIQ(D). In Machine Learning and Knowledge
Discovery in Databases: Research Track. European Conference on Machine Learning
and Principles and Practice of Knowledge Discovery in Databases, Turin. Springer
Nature Switzerland. https://doi.org/10.1007/978-3-031-43421-1_12'
bibtex: '@inbook{Kouagou_Heindorf_Demir_Ngonga Ngomo_2023, place={Cham}, title={Neural
Class Expression Synthesis in ALCHIQ(D)}, DOI={10.1007/978-3-031-43421-1_12},
booktitle={Machine Learning and Knowledge Discovery in Databases: Research Track},
publisher={Springer Nature Switzerland}, author={Kouagou, N’Dah Jean and Heindorf,
Stefan and Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}, year={2023} }'
chicago: 'Kouagou, N’Dah Jean, Stefan Heindorf, Caglar Demir, and Axel-Cyrille Ngonga
Ngomo. “Neural Class Expression Synthesis in ALCHIQ(D).” In Machine Learning
and Knowledge Discovery in Databases: Research Track. Cham: Springer Nature
Switzerland, 2023. https://doi.org/10.1007/978-3-031-43421-1_12.'
ieee: 'N. J. Kouagou, S. Heindorf, C. Demir, and A.-C. Ngonga Ngomo, “Neural Class
Expression Synthesis in ALCHIQ(D),” in Machine Learning and Knowledge Discovery
in Databases: Research Track, Cham: Springer Nature Switzerland, 2023.'
mla: 'Kouagou, N’Dah Jean, et al. “Neural Class Expression Synthesis in ALCHIQ(D).”
Machine Learning and Knowledge Discovery in Databases: Research Track,
Springer Nature Switzerland, 2023, doi:10.1007/978-3-031-43421-1_12.'
short: 'N.J. Kouagou, S. Heindorf, C. Demir, A.-C. Ngonga Ngomo, in: Machine Learning
and Knowledge Discovery in Databases: Research Track, Springer Nature Switzerland,
Cham, 2023.'
conference:
end_date: 2023-09-22
location: Turin
name: European Conference on Machine Learning and Principles and Practice of Knowledge
Discovery in Databases
start_date: 2023-09-18
date_created: 2023-09-25T13:42:01Z
date_updated: 2024-05-22T10:48:24Z
ddc:
- '000'
department:
- _id: '760'
- _id: '574'
doi: 10.1007/978-3-031-43421-1_12
file:
- access_level: open_access
content_type: application/pdf
creator: heindorf
date_created: 2024-05-22T10:45:08Z
date_updated: 2024-05-22T10:46:58Z
file_id: '54417'
file_name: NCES2_public.pdf
file_size: 432708
relation: main_file
file_date_updated: 2024-05-22T10:46:58Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://papers.dice-research.org/2023/ECML_NCES2/NCES2_public.pdf
oa: '1'
place: Cham
publication: 'Machine Learning and Knowledge Discovery in Databases: Research Track'
publication_identifier:
isbn:
- '9783031434204'
- '9783031434211'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Neural Class Expression Synthesis in ALCHIQ(D)
type: book_chapter
user_id: '11871'
year: '2023'
...
---
_id: '37937'
abstract:
- lang: eng
text: "Knowledge bases are widely used for information management on the web,\r\nenabling
high-impact applications such as web search, question answering, and\r\nnatural
language processing. They also serve as the backbone for automatic\r\ndecision
systems, e.g. for medical diagnostics and credit scoring. As\r\nstakeholders affected
by these decisions would like to understand their\r\nsituation and verify fair
decisions, a number of explanation approaches have\r\nbeen proposed using concepts
in description logics. However, the learned\r\nconcepts can become long and difficult
to fathom for non-experts, even when\r\nverbalized. Moreover, long concepts do
not immediately provide a clear path of\r\naction to change one's situation. Counterfactuals
answering the question \"How\r\nmust feature values be changed to obtain a different
classification?\" have been\r\nproposed as short, human-friendly explanations
for tabular data. In this paper,\r\nwe transfer the notion of counterfactuals
to description logics and propose the\r\nfirst algorithm for generating counterfactual
explanations in the description\r\nlogic $\\mathcal{ELH}$. Counterfactual candidates
are generated from concepts\r\nand the candidates with fewest feature changes
are selected as counterfactuals.\r\nIn case of multiple counterfactuals, we rank
them according to the likeliness\r\nof their feature combinations. For evaluation,
we conduct a user survey to\r\ninvestigate which of the generated counterfactual
candidates are preferred for\r\nexplanation by participants. In a second study,
we explore possible use cases\r\nfor counterfactual explanations."
author:
- first_name: Leonie Nora
full_name: Sieger, Leonie Nora
id: '93402'
last_name: Sieger
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Lukas
full_name: Blübaum, Lukas
last_name: Blübaum
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: Sieger LN, Heindorf S, Blübaum L, Ngonga Ngomo A-C. Explaining ELH Concept
Descriptions through Counterfactual Reasoning. arXiv:230105109. Published
online 2023.
apa: Sieger, L. N., Heindorf, S., Blübaum, L., & Ngonga Ngomo, A.-C. (2023).
Explaining ELH Concept Descriptions through Counterfactual Reasoning. In arXiv:2301.05109.
bibtex: '@article{Sieger_Heindorf_Blübaum_Ngonga Ngomo_2023, title={Explaining ELH
Concept Descriptions through Counterfactual Reasoning}, journal={arXiv:2301.05109},
author={Sieger, Leonie Nora and Heindorf, Stefan and Blübaum, Lukas and Ngonga
Ngomo, Axel-Cyrille}, year={2023} }'
chicago: Sieger, Leonie Nora, Stefan Heindorf, Lukas Blübaum, and Axel-Cyrille Ngonga
Ngomo. “Explaining ELH Concept Descriptions through Counterfactual Reasoning.”
ArXiv:2301.05109, 2023.
ieee: L. N. Sieger, S. Heindorf, L. Blübaum, and A.-C. Ngonga Ngomo, “Explaining
ELH Concept Descriptions through Counterfactual Reasoning,” arXiv:2301.05109.
2023.
mla: Sieger, Leonie Nora, et al. “Explaining ELH Concept Descriptions through Counterfactual
Reasoning.” ArXiv:2301.05109, 2023.
short: L.N. Sieger, S. Heindorf, L. Blübaum, A.-C. Ngonga Ngomo, ArXiv:2301.05109
(2023).
date_created: 2023-01-22T19:36:01Z
date_updated: 2024-05-26T19:03:44Z
department:
- _id: '574'
- _id: '760'
external_id:
arxiv:
- '2301.05109'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/pdf/2301.05109.pdf
oa: '1'
publication: arXiv:2301.05109
status: public
title: Explaining ELH Concept Descriptions through Counterfactual Reasoning
type: preprint
user_id: '11871'
year: '2023'
...
---
_id: '50797'
author:
- first_name: Michael
full_name: Röder, Michael
id: '67199'
last_name: Röder
orcid: https://orcid.org/0000-0002-8609-8277
- first_name: Denis
full_name: Kuchelev, Denis
id: '70842'
last_name: Kuchelev
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Röder M, Kuchelev D, Ngonga Ngomo A-C. A Topic Model for the Data Web. In:
Ortiz-Rodriguez F, Villazón-Terrazas B, Tiwari S, Bobed C, eds. Knowledge Graphs
and Semantic Web. Springer Nature Switzerland; 2023:183–198. doi:10.1007/978-3-031-47745-4_14'
apa: Röder, M., Kuchelev, D., & Ngonga Ngomo, A.-C. (2023). A Topic Model for
the Data Web. In F. Ortiz-Rodriguez, B. Villazón-Terrazas, S. Tiwari, & C.
Bobed (Eds.), Knowledge Graphs and Semantic Web (pp. 183–198). Springer
Nature Switzerland. https://doi.org/10.1007/978-3-031-47745-4_14
bibtex: '@inproceedings{Röder_Kuchelev_Ngonga Ngomo_2023, place={Cham}, title={A
Topic Model for the Data Web}, DOI={10.1007/978-3-031-47745-4_14},
booktitle={Knowledge Graphs and Semantic Web}, publisher={Springer Nature Switzerland},
author={Röder, Michael and Kuchelev, Denis and Ngonga Ngomo, Axel-Cyrille}, editor={Ortiz-Rodriguez,
Fernando and Villazón-Terrazas, Boris and Tiwari, Sanju and Bobed, Carlos}, year={2023},
pages={183–198} }'
chicago: 'Röder, Michael, Denis Kuchelev, and Axel-Cyrille Ngonga Ngomo. “A Topic
Model for the Data Web.” In Knowledge Graphs and Semantic Web, edited by
Fernando Ortiz-Rodriguez, Boris Villazón-Terrazas, Sanju Tiwari, and Carlos Bobed,
183–198. Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-47745-4_14.'
ieee: 'M. Röder, D. Kuchelev, and A.-C. Ngonga Ngomo, “A Topic Model for the Data
Web,” in Knowledge Graphs and Semantic Web, 2023, pp. 183–198, doi: 10.1007/978-3-031-47745-4_14.'
mla: Röder, Michael, et al. “A Topic Model for the Data Web.” Knowledge Graphs
and Semantic Web, edited by Fernando Ortiz-Rodriguez et al., Springer Nature
Switzerland, 2023, pp. 183–198, doi:10.1007/978-3-031-47745-4_14.
short: 'M. Röder, D. Kuchelev, A.-C. Ngonga Ngomo, in: F. Ortiz-Rodriguez, B. Villazón-Terrazas,
S. Tiwari, C. Bobed (Eds.), Knowledge Graphs and Semantic Web, Springer Nature
Switzerland, Cham, 2023, pp. 183–198.'
date_created: 2024-01-23T11:39:58Z
date_updated: 2024-06-04T09:59:50Z
department:
- _id: '574'
- _id: '923'
doi: 10.1007/978-3-031-47745-4_14
editor:
- first_name: Fernando
full_name: Ortiz-Rodriguez, Fernando
last_name: Ortiz-Rodriguez
- first_name: Boris
full_name: Villazón-Terrazas, Boris
last_name: Villazón-Terrazas
- first_name: Sanju
full_name: Tiwari, Sanju
last_name: Tiwari
- first_name: Carlos
full_name: Bobed, Carlos
last_name: Bobed
keyword:
- sail dice roeder kuchelev ngonga
language:
- iso: eng
page: 183–198
place: Cham
publication: Knowledge Graphs and Semantic Web
publication_identifier:
isbn:
- 978-3-031-47745-4
publisher: Springer Nature Switzerland
status: public
title: A Topic Model for the Data Web
type: conference
user_id: '67199'
year: '2023'
...
---
_id: '54607'
author:
- first_name: Michael
full_name: Röder, Michael
id: '67199'
last_name: Röder
orcid: https://orcid.org/0000-0002-8609-8277
citation:
ama: Röder M. Automating the Discovery of Linking Candidates. Paderborn University;
2023. doi:10.17619/UNIPB/1-1666
apa: Röder, M. (2023). Automating the Discovery of Linking Candidates. Paderborn
University. https://doi.org/10.17619/UNIPB/1-1666
bibtex: '@book{Röder_2023, title={Automating the Discovery of Linking Candidates},
DOI={10.17619/UNIPB/1-1666},
publisher={Paderborn University}, author={Röder, Michael}, year={2023} }'
chicago: Röder, Michael. Automating the Discovery of Linking Candidates.
Paderborn University, 2023. https://doi.org/10.17619/UNIPB/1-1666.
ieee: M. Röder, Automating the Discovery of Linking Candidates. Paderborn
University, 2023.
mla: Röder, Michael. Automating the Discovery of Linking Candidates. Paderborn
University, 2023, doi:10.17619/UNIPB/1-1666.
short: M. Röder, Automating the Discovery of Linking Candidates, Paderborn University,
2023.
date_created: 2024-06-04T15:26:43Z
date_updated: 2024-06-04T15:28:09Z
department:
- _id: '574'
- _id: '923'
doi: 10.17619/UNIPB/1-1666
keyword:
- dice roeder
language:
- iso: eng
publication_status: published
publisher: Paderborn University
status: public
supervisor:
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
title: Automating the Discovery of Linking Candidates
type: dissertation
user_id: '67199'
year: '2023'
...
---
_id: '54612'
author:
- first_name: N'Dah Jean
full_name: KOUAGOU, N'Dah Jean
id: '87189'
last_name: KOUAGOU
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Caglar
full_name: Demir, Caglar
id: '43817'
last_name: Demir
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'KOUAGOU NJ, Heindorf S, Demir C, Ngonga Ngomo A-C. Neural Class Expression
Synthesis (Extended Abstract). In: NeSy 2023, 17th International Workshop on
Neural-Symbolic Learning and Reasoning, Certosa Di Pontignano, Siena, Italy.
CEUR-WS; 2023.'
apa: KOUAGOU, N. J., Heindorf, S., Demir, C., & Ngonga Ngomo, A.-C. (2023).
Neural Class Expression Synthesis (Extended Abstract). NeSy 2023, 17th International
Workshop on Neural-Symbolic Learning and Reasoning, Certosa Di Pontignano, Siena,
Italy.
bibtex: '@inproceedings{KOUAGOU_Heindorf_Demir_Ngonga Ngomo_2023, title={Neural
Class Expression Synthesis (Extended Abstract)}, booktitle={NeSy 2023, 17th International
Workshop on Neural-Symbolic Learning and Reasoning, Certosa di Pontignano, Siena,
Italy}, publisher={CEUR-WS}, author={KOUAGOU, N’Dah Jean and Heindorf, Stefan
and Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}, year={2023} }'
chicago: KOUAGOU, N’Dah Jean, Stefan Heindorf, Caglar Demir, and Axel-Cyrille Ngonga
Ngomo. “Neural Class Expression Synthesis (Extended Abstract).” In NeSy 2023,
17th International Workshop on Neural-Symbolic Learning and Reasoning, Certosa
Di Pontignano, Siena, Italy. CEUR-WS, 2023.
ieee: N. J. KOUAGOU, S. Heindorf, C. Demir, and A.-C. Ngonga Ngomo, “Neural Class
Expression Synthesis (Extended Abstract),” 2023.
mla: KOUAGOU, N’Dah Jean, et al. “Neural Class Expression Synthesis (Extended Abstract).”
NeSy 2023, 17th International Workshop on Neural-Symbolic Learning and Reasoning,
Certosa Di Pontignano, Siena, Italy, CEUR-WS, 2023.
short: 'N.J. KOUAGOU, S. Heindorf, C. Demir, A.-C. Ngonga Ngomo, in: NeSy 2023,
17th International Workshop on Neural-Symbolic Learning and Reasoning, Certosa
Di Pontignano, Siena, Italy, CEUR-WS, 2023.'
date_created: 2024-06-04T15:36:52Z
date_updated: 2024-06-04T15:40:30Z
department:
- _id: '574'
- _id: '760'
keyword:
- 318 SFB-TRR demir dice enexa heindorf knowgraphs kouagou ngonga sail
language:
- iso: eng
publication: NeSy 2023, 17th International Workshop on Neural-Symbolic Learning and
Reasoning, Certosa di Pontignano, Siena, Italy
publisher: CEUR-WS
status: public
title: Neural Class Expression Synthesis (Extended Abstract)
type: conference
user_id: '67199'
year: '2023'
...