GraphGLOW: Universal and Generalizable Structure Learning for Graph
Neural Networks

GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks

20 June 2023

Papers citing "GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks"

15 / 15 papers shown

Title
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Zihan Chen Xingbo Fu Yushun Dong Jundong Li Cong Shen FedML 64 0 0 29 Apr 2025
Heterogeneous Graph Structure Learning through the Lens of Data-generating Processes Keyue Jiang Bohan Tang Xiaowen Dong Laura Toni 36 0 0 11 Mar 2025
Training Robust Graph Neural Networks by Modeling Noise Dependencies Yeonjun In Kanghoon Yoon Sukwon Yun Kibum Kim Sungchul Kim Chanyoung Park OOD NoLa 65 0 0 27 Feb 2025
MLDGG: Meta-Learning for Domain Generalization on Graphs Q. Tian Chen Zhao Minglai Shao Wenjun Wang Yujie Lin Dong Li OOD AI4CE 74 1 0 19 Nov 2024
Towards Dynamic Message Passing on Graphs Junshu Sun Chenxue Yang Xiangyang Ji Qingming Huang Shuhui Wang 25 0 0 31 Oct 2024
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation Kexin Zhang Shuhan Liu Song Wang Weili Shi Chen Chen Pan Li Sheng R. Li Jundong Li Kaize Ding OOD 45 2 0 25 Oct 2024
GeoMix: Towards Geometry-Aware Data Augmentation Wen-Long Zhao Qitian Wu Chenxiao Yang Junchi Yan 19 0 0 15 Jul 2024
A Unified Graph Selective Prompt Learning for Graph Neural Networks Bo Jiang Hao Wu Ziyan Zhang Beibei Wang Jin Tang 31 1 0 15 Jun 2024
Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on Graphs Shuhan Liu Kaize Ding OOD 16 5 0 17 Feb 2024
Graph Prompt Learning: A Comprehensive Survey and Beyond Xiangguo Sun Jiawen Zhang Xixi Wu Hong Cheng Yun Xiong Jia Li 19 51 0 28 Nov 2023
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer Wendong Bi Xueqi Cheng Bingbing Xu Xiaoqian Sun Li Xu Huawei Shen 12 10 0 18 Aug 2023
Graph Information Bottleneck Tailin Wu Hongyu Ren Pan Li J. Leskovec AAML 85 222 0 24 Oct 2020
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 217 1,726 0 09 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 163 664 0 07 Jun 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 228 3,202 0 24 Nov 2016