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…