N'Dah Jean Kouagou

Orcid: 0000-0002-4217-897X

According to our database1, N'Dah Jean Kouagou authored at least 22 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Learning Chain Of Thoughts Prompts for Predicting Entities, Relations, and even Literals on Knowledge Graphs.
CoRR, April, 2026

A Possible Human-Centered Embedding Space Search in Degenerate Clifford Algebras.
Proceedings of the 34th European Symposium on Artificial Neural Networks, 2026

2025
Resilience in Knowledge Graph Embeddings.
Trans. Graph Data Knowl., October, 2025

Learning problems of 5 QA systems on QALD10, QALD9+DB, and QALD9+WK.
Dataset, August, 2025

Keci embedding models for explainable benchmarking (QALD10, QALD9+DB, QALD9+WK).
Dataset, January, 2025

Knowledge bases for explainable benchmarking (QALD10, QALD9+DB, QALD9+WK).
Dataset, January, 2025

Pretrained models for explainable benchmarking (QALD10, QALD9+DB, QALD9+WK).
Dataset, January, 2025

Fast Neuro-Symbolic Approaches for Class Expression Learning.
PhD thesis, 2025

Ontolearn - A Framework for Large-scale OWL Class Expression Learning in Python.
J. Mach. Learn. Res., 2025

Benchmarking Knowledge Editing Using Logical Rules.
Proceedings of the Semantic Web - ISWC 2025, 2025

Explainable Benchmarking through the Lense of Concept Learning.
Proceedings of the 13th Knowledge Capture Conference 2025, 2025

Neural Reasoning for Robust Instance Retrieval in SHOIQ.
Proceedings of the 13th Knowledge Capture Conference 2025, 2025

2024
Inference over Unseen Entities, Relations and Literals on Knowledge Graphs.
CoRR, 2024

Improving rule mining via embedding-based link prediction.
CoRR, 2024

Universal Knowledge Graph Embeddings.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Diving Deep: Forecasting Sea Surface Temperatures and Anomalies.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024

ROCES: Robust Class Expression Synthesis in Description Logics via Iterative Sampling.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
Class Expression Learning with Multiple Representations.
Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

Neural Class Expression Synthesis in <i>ALCHIQ(D)</i>.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Neural Class Expression Synthesis.
Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

2022
Learning Concept Lengths Accelerates Concept Learning in ALC.
Proceedings of the Semantic Web - 19th International Conference, 2022

2021
Prediction of concept lengths for fast concept learning in description logics.
CoRR, 2021


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