5 citations · 11 across the 7 of their papers we have counts for
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cs.LG2023
GradXKG: A Universal Explain-per-use Temporal Knowledge Graph Explainer
Chenhan Yuan, Hoda Eldardiry
Temporal knowledge graphs (TKGs) have shown promise for reasoning tasks by incorporating a temporal dimension to represent how facts evolve over time. However, existing TKG reasoni…
cs.LG2020★ 2 cited
Reinforcement Learning-based N-ary Cross-Sentence Relation Extraction
Chenhan Yuan, Ryan Rossi, Andrew Katz +1
The models of n-ary cross sentence relation extraction based on distant supervision assume that consecutive sentences mentioning n entities describe the relation of these n entitie…