2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.IR2024
QAGCF: Graph Collaborative Filtering for Q&A Recommendation
Changshuo Zhang, Teng Shi, Xiao Zhang +5
Question and answer (Q&A) platforms usually recommend question-answer pairs to meet users' knowledge acquisition needs, unlike traditional recommendations that recommend only one i…
cs.LG2024★ 2 cited
A survey of dynamic graph neural networks
Yanping Zheng, Lu Yi, Zhewei Wei
Graph neural networks (GNNs) have emerged as a powerful tool for effectively mining and learning from graph-structured data, with applications spanning numerous domains. However, m…
cs.LG2023★ 1 cited
Decoupled Graph Neural Networks for Large Dynamic Graphs
Yanping Zheng, Zhewei Wei, Jiajun Liu
Real-world graphs, such as social networks, financial transactions, and recommendation systems, often demonstrate dynamic behavior. This phenomenon, known as graph stream, involves…