Prediction of concept lengths for fast concept learning in description logics. - N'Dah Jean Kouagou; Stefan Heindorf; Caglar Demir; Axel-Cyrille Ngonga Ngomo (CoRR, 2021)

Learning Concept Lengths Accelerates Concept Learning in ALC. - N'Dah Jean Kouagou; Stefan Heindorf; Caglar Demir; Axel-Cyrille Ngonga Ngomo (ESWC, 2022)

Neural Class Expression Synthesis. - N'Dah Jean Kouagou; Stefan Heindorf; Caglar Demir; Axel-Cyrille Ngonga Ngomo (ESWC, 2023)

Neural Class Expression Synthesis in ALCHIQ(D). - N'Dah Jean Kouagou; Stefan Heindorf; Caglar Demir; Axel-Cyrille Ngonga Ngomo (ECML/PKDD (4), 2023)

Class Expression Learning with Multiple Representations. - Axel-Cyrille Ngonga Ngomo; Caglar Demir; N'Dah Jean Kouagou; Stefan Heindorf; Nikolaos Karalis; Alexander Bigerl (Compendium of Neurosymbolic Artificial Intelligence, 2023)

ROCES: Robust Class Expression Synthesis in Description Logics via Iterative Sampling. - N'Dah Jean Kouagou; Stefan Heindorf; Caglar Demir; Axel-Cyrille Ngonga Ngomo (IJCAI, 2024)

Universal Knowledge Graph Embeddings. - N'Dah Jean Kouagou; Caglar Demir; Hamada M. Zahera; Adrian Wilke; Stefan Heindorf; Jiayi Li; Axel-Cyrille Ngonga Ngomo (WWW (Companion Volume), 2024)

Improving rule mining via embedding-based link prediction. - N'Dah Jean Kouagou; Arif Yilmaz; Michel Dumontier; Axel-Cyrille Ngonga Ngomo (CoRR, 2024)

Inference over Unseen Entities, Relations and Literals on Knowledge Graphs. - Caglar Demir; N'Dah Jean Kouagou; Arnab Sharma; Axel-Cyrille Ngonga Ngomo (CoRR, 2024)

Resilience in Knowledge Graph Embeddings. - Arnab Sharma; N'Dah Jean Kouagou; Axel-Cyrille Ngonga Ngomo (CoRR, 2024)

Diving Deep: Forecasting Sea Surface Temperatures and Anomalies. - Ding Ning; Varvara Vetrova; Karin R. Bryan; Yun Sing Koh; Andreas Voskou; N'Dah Jean Kouagou; Arnab Sharma (CoRR, 2025)