Self-Contrastive Graph Diffusion Network

1 code implementation • 27 Jul 2023 • Yixian Ma, Kun Zhan

AttM aggregates higher-order structure and feature information to get an excellent embedding, while DiFM balances the state of each node in the graph through Laplacian diffusion learning and allows the cooperative evolution of adjacency and feature information in the graph.

Contrastive Learning