8 Publications

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[8]
2024 | Conference Paper | LibreCat-ID: 54449 | OA
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.
LibreCat | DOI | Download (ext.)
 
[7]
2024 | Journal Article | LibreCat-ID: 58049
Demir, Caglar, et al. “Inference over Unseen Entities, Relations and Literals on Knowledge Graphs.” Arxiv, 2024, doi:10.48550/ARXIV.2410.06742.
LibreCat | DOI
 
[6]
2024 | Journal Article | LibreCat-ID: 58048
Sharma, Arnab, et al. “Resilience in Knowledge Graph Embeddings.” Arxiv, 2024, doi:10.48550/ARXIV.2410.21163.
LibreCat | DOI
 
[5]
2023 | Book Chapter | LibreCat-ID: 46460
Ngonga Ngomo, Axel-Cyrille, et al. “Class Expression Learning with Multiple Representations.” Compendium of Neurosymbolic Artificial Intelligence, IOS Press, 2023, pp. 272–286.
LibreCat
 
[4]
2023 | Book Chapter | LibreCat-ID: 47421 | OA
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.
LibreCat | Files available | DOI | Download (ext.)
 
[3]
2023 | Conference Paper | LibreCat-ID: 54612
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.
LibreCat
 
[2]
2023 | Conference Paper | LibreCat-ID: 33734 | OA
KOUAGOU, N’Dah Jean, et al. “Neural Class Expression Synthesis.” The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023), edited by Catia Pesquita et al., vol. 13870, Springer International Publishing, 2023, pp. 209–26, doi:https://doi.org/10.1007/978-3-031-33455-9_13.
LibreCat | DOI | Download (ext.)
 
[1]
2022 | Book Chapter | LibreCat-ID: 33740 | OA
KOUAGOU, N’Dah Jean, et al. “Learning Concept Lengths Accelerates Concept Learning in ALC.” The Semantic Web, Springer International Publishing, 2022, doi:10.1007/978-3-031-06981-9_14.
LibreCat | Files available | DOI | Download (ext.)
 

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8 Publications

Mark all

[8]
2024 | Conference Paper | LibreCat-ID: 54449 | OA
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.
LibreCat | DOI | Download (ext.)
 
[7]
2024 | Journal Article | LibreCat-ID: 58049
Demir, Caglar, et al. “Inference over Unseen Entities, Relations and Literals on Knowledge Graphs.” Arxiv, 2024, doi:10.48550/ARXIV.2410.06742.
LibreCat | DOI
 
[6]
2024 | Journal Article | LibreCat-ID: 58048
Sharma, Arnab, et al. “Resilience in Knowledge Graph Embeddings.” Arxiv, 2024, doi:10.48550/ARXIV.2410.21163.
LibreCat | DOI
 
[5]
2023 | Book Chapter | LibreCat-ID: 46460
Ngonga Ngomo, Axel-Cyrille, et al. “Class Expression Learning with Multiple Representations.” Compendium of Neurosymbolic Artificial Intelligence, IOS Press, 2023, pp. 272–286.
LibreCat
 
[4]
2023 | Book Chapter | LibreCat-ID: 47421 | OA
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.
LibreCat | Files available | DOI | Download (ext.)
 
[3]
2023 | Conference Paper | LibreCat-ID: 54612
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.
LibreCat
 
[2]
2023 | Conference Paper | LibreCat-ID: 33734 | OA
KOUAGOU, N’Dah Jean, et al. “Neural Class Expression Synthesis.” The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023), edited by Catia Pesquita et al., vol. 13870, Springer International Publishing, 2023, pp. 209–26, doi:https://doi.org/10.1007/978-3-031-33455-9_13.
LibreCat | DOI | Download (ext.)
 
[1]
2022 | Book Chapter | LibreCat-ID: 33740 | OA
KOUAGOU, N’Dah Jean, et al. “Learning Concept Lengths Accelerates Concept Learning in ALC.” The Semantic Web, Springer International Publishing, 2022, doi:10.1007/978-3-031-06981-9_14.
LibreCat | Files available | DOI | Download (ext.)
 

Search

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