2 papers
cs.LG2025
TGM: a Modular and Efficient Library for Machine Learning on Temporal Graphs
Jacob Chmura, Shenyang Huang, Tran Gia Bao Ngo +7
Well-designed open-source software drives progress in Machine Learning (ML) research. While static graph ML enjoys mature frameworks like PyTorch Geometric and DGL, ML for temporal…
cs.CL2025
Plausibility Vaccine: Injecting LLM Knowledge for Event Plausibility
Jacob Chmura, Jonah Dauvet, Sebastian Sabry
Despite advances in language modelling, distributional methods that build semantic representations from co-occurrences fail to discriminate between plausible and implausible events…