Nicolas Hubert

Orcid: 0000-0002-4682-422X

According to our database1, Nicolas Hubert authored at least 13 papers between 2022 and 2024.

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

Timeline

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Bibliography

2024
From semantic-aware to semantic-enhanced knowledge graph embedding models for link prediction. (Mesure et enrichissement sémantiques des modèles à base d'embeddings pour la prédiction de liens dans les graphes de connaissances).
PhD thesis, 2024

Do Similar Entities Have Similar Embeddings?
Proceedings of the Semantic Web - 21st International Conference, 2024

PyGraft: Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips.
Proceedings of the Semantic Web - 21st International Conference, 2024

Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction.
Proceedings of the Semantic Web - 21st International Conference, 2024

2023
Sem@<i>K</i>: Is my knowledge graph embedding model semantic-aware?
Semantic Web, 2023

Beyond Transduction: A Survey on Inductive, Few Shot, and Zero Shot Link Prediction in Knowledge Graphs.
CoRR, 2023

PyGraft: Configurable Generation of Schemas and Knowledge Graphs at Your Fingertips.
CoRR, 2023

Enhancing Knowledge Graph Embedding Models with Semantic-driven Loss Functions.
CoRR, 2023

Sem@K: Is my knowledge graph embedding model semantic-aware?
CoRR, 2023

Schema First! Learn Versatile Knowledge Graph Embeddings by Capturing Semantics with MASCHInE.
Proceedings of the 12th Knowledge Capture Conference 2023, 2023

2022
Knowledge Graph Embeddings for Link Prediction: Beware of Semantics!
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.
Proceedings of the ISWC 2022 Posters, 2022

New Strategies for Learning Knowledge Graph Embeddings: The Recommendation Case.
Proceedings of the Knowledge Engineering and Knowledge Management, 2022


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