most citedLarge Language Model Meets Graph Neural Network in Knowledge Distillation

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cs.LG2023★ 2 cited

Dynamic Graph Representation Learning via Edge Temporal States Modeling and Structure-reinforced Transformer

Shengxiang Hu, Guobing Zou, Song Yang +3

Dynamic graph representation learning has emerged as a crucial research area, driven by the growing need for analyzing time-evolving graph data in real-world applications. While re…