3 papers
cs.LG2026
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…
cs.AI2025
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…
cs.CL2025
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…