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Anaïs Baudot

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#artificial intelligence Preprint Oct 2026

KGATE : a Knowledge Graph Embedding Training Environment

Knowledge graph embedding (KGE) models encode the entities and relations of a knowledge graph into a low-dimensional latent space, enabling tasks such as classification or link prediction. Most KGE models follow an autoencoder architecture, in which an encoder projects the knowledge graph into the latent space and a de...

Benjamin Loire, G. Brière, Célia Brahimi et al. · 0 citations

Ground-truth Construction and Evaluation of LLM Contribution to Life Sciences Tool Annotation

This work compares the respective capabilities of domain experts and of an Large Language Model (LLM) agent to generate useful domain-specific annotations for classifying, indexing, and searching scientific resources, and shows the complementarity between domain experts and LLMs.

Ulysse Le Clanche, Melvin Selim Atay, Elise Bannier et al. · 0 citations