Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification

Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification

18 January 2024

Roger Zimmermann

Papers citing "Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification"

6 / 6 papers shown

Title
DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks Zeyu Zhang Lu Li Shuyan Wan Sijie Wang Zhiyi Wang Zhiyuan Lu Dong Hao Wanli Li 28 2 0 29 Sep 2024
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey G. Jin Yuxuan Liang Yuchen Fang Zezhi Shao Jincai Huang Junbo Zhang Yu Zheng AI4TS AI4CE 73 170 0 25 Mar 2023
Every Node Counts: Improving the Training of Graph Neural Networks on Node Classification Moshe Eliasof E. Haber Eran Treister GNN 22 0 0 29 Nov 2022
Spectral Augmentation for Self-Supervised Learning on Graphs Lu Lin Jinghui Chen Hongning Wang OOD 24 47 0 02 Oct 2022
Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation Joonhyung Park Hajin Shim Eunho Yang 77 48 0 10 Nov 2021
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 84 445 0 04 Jan 2021