Simplified PCNet with Robustness

no code implementations • 6 Mar 2024 • Bingheng Li, Xuanting Xie, Haoxiang Lei, Ruiyi Fang, Zhao Kang

Graph Neural Networks (GNNs) have garnered significant attention for their success in learning the representation of homophilic or heterophilic graphs.

Structure-Preserving Graph Representation Learning

1 code implementation • 2 Sep 2022 • Ruiyi Fang, Liangjian Wen, Zhao Kang, Jianzhuang Liu

To this end, we propose a novel Structure-Preserving Graph Representation Learning (SPGRL) method, to fully capture the structure information of graphs.

Graph Representation Learning Node Classification