Firmansyah, A. F., Moussallem, D., &; Ngonga Ngomo, A.-C. (2021). GATES: Using Graph Attention Networks for Entity Summarization. Proceedings of the 11th on Knowledge Capture Conference, 73–80.https://doi.org/10.1145/3460210.3493574 
LibreCat: /record/29486
DOI: 10.1145/3460210.3493574

Feldhans, R., Wilke, A., Heindorf, S., Shaker, M. H., Hammer, B., Ngonga Ngomo, A.-C., &; Hüllermeier, E. (2021). Drift Detection in Text Data with Document Embeddings. In Intelligent Data Engineering and Automated Learning – IDEAL 2021. Springer International Publishing.https://doi.org/10.1007/978-3-030-91608-4_11 
LibreCat: /record/29292
DOI: 10.1007/978-3-030-91608-4_11

Demir, C., Moussallem, D., Heindorf, S., &; Ngonga Ngomo, A.-C. (2021). Convolutional Hypercomplex Embeddings for Link Prediction. The 13th Asian Conference on Machine Learning, ACML 2021.
LibreCat: /record/29287
arXiv: 2106.15230

Nickchen, T., Heindorf, S., &; Engels, G. (2021). Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts. 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).https://doi.org/10.1109/wacv48630.2021.00204 
LibreCat: /record/29294
DOI: 10.1109/wacv48630.2021.00204

Rohlfing, K. J., Cimiano, P., Scharlau, I., Matzner, T., Buhl, H. M., Buschmeier, H., Esposito, E., Grimminger, A., Hammer, B., Haeb-Umbach, R., Horwath, I., Hüllermeier, E., Kern, F., Kopp, S., Thommes, K., Ngonga Ngomo, A.-C., Schulte, C., Wachsmuth, H., Wagner, P., &; Wrede, B. (2021). Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems. IEEE Transactions on Cognitive and Developmental Systems, 13(3), 717–728.https://doi.org/10.1109/tcds.2020.3044366 
LibreCat: /record/24456
DOI: 10.1109/tcds.2020.3044366

Qudus, U., Saleem, M., Ngonga Ngomo, A.-C., &; Lee, Y.-K. (n.d.). An Empirical Evaluation of Cost-based Federated SPARQL Query Processing Engines. Semantic Web, 12(6), 843–868.https://doi.org/10.3233/SW-200420 
LibreCat: /record/25212
DOI: 10.3233/SW-200420

Zahera, H. M. A., Heindorf, S., &; Ngonga Ngomo, A.-C. (2021). ASSET: A Semi-supervised Approach for Entity Typing in Knowledge Graphs. Proceedings of the 11th on Knowledge Capture Conference.https://doi.org/10.1145/3460210.3493563 
LibreCat: /record/29291
DOI: 10.1145/3460210.3493563

Moussalem, D. C. (2020). Knowledge Graphs for Multilingual Language Translation and Generation.https://doi.org/10.17619/UNIPB/1-980 
LibreCat: /record/16935
DOI: 10.17619/UNIPB/1-980

Heindorf, S., Scholten, Y., Wachsmuth, H., Ngonga Ngomo, A.-C., &; Potthast, M. (2020). CauseNet: Towards a Causality Graph Extracted from the Web. Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020), 3023–3030.https://doi.org/10.1145/3340531.3412763 
LibreCat: /record/20141
DOI: 10.1145/3340531.3412763

Röder, M., Sherif, M., Saleem, M., Conrads, F., &; Ngonga Ngomo, A.-C. (2020). Benchmarking the Lifecycle of Knowledge Graphs. In I. Tiddi, F. Lécué, &; P. Hitzler (Eds.), Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges (pp. 73–97). IOS Press.https://doi.org/10.3233/SSW200012 
LibreCat: /record/29042
DOI: 10.3233/SSW200012

Desouki, A. A., Röder, M., &; Ngonga Ngomo, A.-C. (2019). Ranking on Very Large Knowledge Graphs. In Proceedings of the 30th ACM Conference on Hypertext and Social Media  - HT ’19 (pp. 163–171). ACM.https://doi.org/10.1145/3342220.3343660 
LibreCat: /record/15921
DOI: 10.1145/3342220.3343660