1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Towards Effective Graph Rationalization via Boosting Environment Diversity
Yujie Wang, Kui Yu, Yuhong Zhang +2
Graph Neural Networks (GNNs) perform effectively when training and testing graphs are drawn from the same distribution, but struggle to generalize well in the face of distribution…
cs.CL2022★ 1 cited
Learning Relation-Specific Representations for Few-shot Knowledge Graph Completion
Yuling Li, Kui Yu, Yuhong Zhang +1
Recent years have witnessed increasing interest in few-shot knowledge graph completion (FKGC), which aims to infer unseen query triples for a few-shot relation using a few referenc…
cs.AI2021
A Temporal Knowledge Graph Completion Method Based on Balanced Timestamp Distribution
Kangzheng Liu, Yuhong Zhang
Completion through the embedding representation of the knowledge graph (KGE) has been a research hotspot in recent years. Realistic knowledge graphs are mostly related to time, whi…