4 citations · 6 across the 6 of their papers we have counts for
7 papers
WiCleanData: Guaranteeing the Type Consistency of Wikidata by Taxonomy Refinement and Constraint Enforcement
Yiwen Peng, Marc Jeanmougin, Thomas Bonald
Because of its collaborative nature, Wikidata suffers from errors, in- consistencies, and excessive complexity, such as redundant classes, ambiguity between instances and classes,…
Implicit Regularization of Mini-Batch Training in Graph Neural Networks
Clement Wang, Antoine Vialle, Robin Vaysse +1
Mini-batch training of Graph Neural Networks (GNNs) is fundamentally different from training on i.i.d. data: sampling a subgraph alters the topology and introduces boundary effects…
FLORA: Unsupervised Knowledge Graph Alignment by Fuzzy Logic
Yiwen Peng, Thomas Bonald, Fabian M. Suchanek
Knowledge graph alignment is the task of matching equivalent entities (that is, instances and classes) and relations across two knowledge graphs. Most existing methods focus on pur…
Retrieval-Constrained Decoding Reveals Underestimated Parametric Knowledge in Language Models
Rajaa El Hamdani, Samy Haffoudhi, Nils Holzenberger +3
Language models (LMs) encode substantial factual knowledge, but often produce answers judged as incorrect. We hypothesize that many of these answers are actually correct, but are e…
Graph as a feature: improving node classification with non-neural graph-aware logistic regression
Simon Delarue, Thomas Bonald, Tiphaine Viard
Graph Neural Networks (GNNs) and their message passing framework that leverages both structural and feature information, have become a standard method for solving graph-based machi…
The Factuality of Large Language Models in the Legal Domain
Rajaa El Hamdani, Thomas Bonald, Fragkiskos Malliaros +2
This paper investigates the factuality of large language models (LLMs) as knowledge bases in the legal domain, in a realistic usage scenario: we allow for acceptable variations in…
Refining Wikidata Taxonomy using Large Language Models
Yiwen Peng, Thomas Bonald, Mehwish Alam
Due to its collaborative nature, Wikidata is known to have a complex taxonomy, with recurrent issues like the ambiguity between instances and classes, the inaccuracy of some taxono…