Nicolas Hubert

According to our database, Nicolas Hubert authored at least 10 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Sem@<i>K</i>: Is my knowledge graph embedding model semantic-aware?

Nicolas Hubert, Pierre Monnin, Armelle Brun, Davy Monticolo

Semantic Web, 2023

Do Similar Entities have Similar Embeddings?

Nicolas Hubert, Heiko Paulheim, Armelle Brun, Davy Monticolo

CoRR, 2023

Beyond Transduction: A Survey on Inductive, Few Shot, and Zero Shot Link Prediction in Knowledge Graphs.

Nicolas Hubert, Pierre Monnin, Heiko Paulheim

CoRR, 2023

PyGraft: Configurable Generation of Schemas and Knowledge Graphs at Your Fingertips.

Nicolas Hubert, Pierre Monnin, Mathieu d'Aquin, Armelle Brun, Davy Monticolo

CoRR, 2023

Enhancing Knowledge Graph Embedding Models with Semantic-driven Loss Functions.

Nicolas Hubert, Pierre Monnin, Armelle Brun, Davy Monticolo

CoRR, 2023

Sem@K: Is my knowledge graph embedding model semantic-aware?

Nicolas Hubert, Pierre Monnin, Armelle Brun, Davy Monticolo

CoRR, 2023

Schema First! Learn Versatile Knowledge Graph Embeddings by Capturing Semantics with MASCHInE.

Nicolas Hubert, Heiko Paulheim, Pierre Monnin, Armelle Brun, Davy Monticolo

Proceedings of the 12th Knowledge Capture Conference 2023, 2023

2022

Knowledge Graph Embeddings for Link Prediction: Beware of Semantics!

Nicolas Hubert, Pierre Monnin, Armelle Brun, Davy Monticolo

Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG 2022) co-located with the 21th International Semantic Web Conference (ISWC 2022), 2022

New Ontology and Knowledge Graph for University Curriculum Recommendation.

Nicolas Hubert, Armelle Brun, Davy Monticolo

Proceedings of the ISWC 2022 Posters, 2022

New Strategies for Learning Knowledge Graph Embeddings: The Recommendation Case.

Nicolas Hubert, Pierre Monnin, Armelle Brun, Davy Monticolo

Proceedings of the Knowledge Engineering and Knowledge Management, 2022