Steven Schockaert

This article discusses methods for improving knowledge graph completion using GNNs and rule-based approaches.

A new framework for assessing RAG systems without human references.

A new method using octagons to improve knowledge graph representation.

This study examines how LLMs can effectively rank various entities based on different features.

Combining Natural Language Inference and concept embeddings improves filling missing knowledge in ontologies.

A method to enhance machine understanding through multi-facet embeddings.

A new model offers better clarity and efficiency in filling knowledge graph gaps.

A new approach improves GNN reasoning capabilities for complex relationship tasks.

Learn how computers can recognize objects with limited examples.