4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2024
GQWformer: A Quantum-based Transformer for Graph Representation Learning
Lei Yu, Hongyang Chen, Jingsong Lv +1
Graph Transformers (GTs) have demonstrated significant advantages in graph representation learning through their global attention mechanisms. However, the self-attention mechanism…
cs.CL2024
TemPrompt: Multi-Task Prompt Learning for Temporal Relation Extraction in RAG-based Crowdsourcing Systems
Jing Yang, Yu Zhao, Linyao Yang +3
Temporal relation extraction (TRE) aims to grasp the evolution of events or actions, and thus shape the workflow of associated tasks, so it holds promise in helping understand task…
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…