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20222026
most citedA survey of dynamic graph neural networks

2 citations · 5 across the 8 of their papers we have counts for

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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…