4 citations · 4 across the 1 of their papers we have counts for
2 papers
cs.LG2024
Input Snapshots Fusion for Scalable Discrete-Time Dynamic Graph Neural Networks
QingGuo Qi, Hongyang Chen, Minhao Cheng +1
In recent years, there has been a surge in research on dynamic graph representation learning, primarily focusing on modeling the evolution of temporal-spatial patterns in real-worl…
cs.CL2024★ 4 cited
Two Heads Are Better Than One: Integrating Knowledge from Knowledge Graphs and Large Language Models for Entity Alignment
Linyao Yang, Hongyang Chen, Xiao Wang +3
Entity alignment, which is a prerequisite for creating a more comprehensive Knowledge Graph (KG), involves pinpointing equivalent entities across disparate KGs. Contemporary method…