v1v2 (latest)

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs

29 April 2025

Papers citing "FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs"

50 / 70 papers shown

Title
GSLB: The Graph Structure Learning Benchmark Zhixun Li Liang Wang Xin Sun Yifan Luo Yanqiao Zhu ... Xiangxin Zhou Qiang Liu Shu Wu Liang Wang Jeffrey Xu Yu 104 37 0 08 Oct 2023
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks Wentao Zhao Qitian Wu Chenxiao Yang Junchi Yan 63 14 0 20 Jun 2023
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification Qitian Wu Wentao Zhao Zenan Li David Wipf Junchi Yan 68 231 0 14 Jun 2023
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs Y. Zheng He Zhang V. Lee Yu Zheng Tianlin Li Shirui Pan 77 34 0 13 Jun 2023
Federated Learning over Coupled Graphs Runze Lei Peijie Wang Junzhou Zhao Lin Lan Jing Tao Chao Deng Junlan Feng Xidian Wang Xiaohong Guan FedML 99 15 0 26 Jan 2023
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating Yixin Liu Yizhen Zheng Daokun Zhang V. Lee Shirui Pan 54 77 0 25 Nov 2022
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing Yue Tan Yixin Liu Guodong Long Jing Jiang Qinghua Lu Chengqi Zhang FedML 125 140 0 23 Nov 2022
FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated Learning Rui Ye Zhenyang Ni Chenxin Xu Jianyu Wang Siheng Chen Yonina C. Eldar FedML 96 33 0 14 Oct 2022
Revisiting Heterophily For Graph Neural Networks Sitao Luan Chenqing Hua Qincheng Lu Jiaqi Zhu Mingde Zhao Shuyuan Zhang Xiaoming Chang Doina Precup 86 199 0 14 Oct 2022
Personalized Subgraph Federated Learning Jinheon Baek Wonyong Jeong Jiongdao Jin Jaehong Yoon Sung Ju Hwang FedML 87 60 0 21 Jun 2022
Confederated Learning: Federated Learning with Decentralized Edge Servers Bin Wang Jun Fang Hongbin Li Xiaojun Yuan Qing Ling FedML 60 24 0 30 May 2022
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily Xiang Li Renyu Zhu Yao Cheng Caihua Shan Siqiang Luo Dongsheng Li Wei Qian 86 195 0 15 May 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability Enyan Dai Tianxiang Zhao Huaisheng Zhu Jun Xu Zhimeng Guo Hui Liu Jiliang Tang Suhang Wang 109 144 0 18 Apr 2022
How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision Dongkwan Kim Alice Oh SSL GNN 127 260 0 11 Apr 2022
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation Kai Zhang Yu Wang Hongyi Wang Lifu Huang Carl Yang Xun Chen Lichao Sun FedML 70 37 0 17 Mar 2022
Federated Graph Neural Networks: Overview, Techniques and Challenges R. Liu Pengwei Xing Zichao Deng Anran Li Cuntai Guan Han Yu FedML 113 87 0 15 Feb 2022
Graph Neural Networks for Graphs with Heterophily: A Survey Xin-Yang Zheng Yi Wang Yixin Liu Ming Li Miao Zhang Di Jin Philip S. Yu Shirui Pan 110 227 0 14 Feb 2022
Towards Unsupervised Deep Graph Structure Learning Yixin Liu Yu Zheng Daokun Zhang Hongxu Chen Hao Peng Shirui Pan 73 194 0 17 Jan 2022
Graph Structure Learning with Variational Information Bottleneck Qingyun Sun Jianxin Li Hao Peng Hongzhi Zhang Xingcheng Fu Cheng Ji Philip S. Yu 87 162 0 16 Dec 2021
STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks Guannan Lou Yuze Liu Tiehua Zhang Xi Zheng FedML 94 14 0 12 Nov 2021
Graph Pointer Neural Networks Tian-bao Yang Yujing Wang Z. Yue Yaming Yang Yunhai Tong Jing Bai 110 37 0 03 Oct 2021
Federated Learning of Molecular Properties with Graph Neural Networks in a Heterogeneous Setting Wei-wei Zhu Jiebo Luo Andrew D. White FedML 76 33 0 15 Sep 2021
Subgraph Federated Learning with Missing Neighbor Generation Ke Zhang Carl Yang Xiaoxiao Li Lichao Sun Siu-Ming Yiu FedML 97 176 0 25 Jun 2021
Federated Graph Classification over Non-IID Graphs Han Xie Jing Ma Li Xiong Carl Yang FedML 76 164 0 25 Jun 2021
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns Susheel Suresh Vinith Budde Jennifer Neville Pan Li Jianzhu Ma 88 137 0 11 Jun 2021
Is Homophily a Necessity for Graph Neural Networks? Yao Ma Xiaorui Liu Neil Shah Jiliang Tang 54 236 0 11 Jun 2021
Rethinking Graph Transformers with Spectral Attention Devin Kreuzer Dominique Beaini William L. Hamilton Vincent Létourneau Prudencio Tossou 152 550 0 07 Jun 2021
Differentially Private Federated Knowledge Graphs Embedding Hao Peng Haoran Li Yangqiu Song V. Zheng Jianxin Li FedML 90 85 0 17 May 2021
FedGL: Federated Graph Learning Framework with Global Self-Supervision Chuan Chen Weibo Hu Ziyue Xu Zibin Zheng FedML 69 59 0 07 May 2021
Graph Learning: A Survey Xiwei Xu Ke Sun Shuo Yu Abdul Aziz Liangtian Wan Shirui Pan Huan Liu GNN 89 356 0 03 May 2021
Federated Learning: A Signal Processing Perspective Tomer Gafni Nir Shlezinger Kobi Cohen Yonina C. Eldar H. Vincent Poor FedML 102 132 0 31 Mar 2021
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks Yujun Yan Milad Hashemi Kevin Swersky Yaoqing Yang Danai Koutra 120 255 0 12 Feb 2021
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 181 597 0 04 Jan 2021
Learning to Drop: Robust Graph Neural Network via Topological Denoising Dongsheng Luo Wei Cheng Wenchao Yu Bo Zong Jingchao Ni Haifeng Chen Xiang Zhang OOD 95 265 0 13 Nov 2020
ASFGNN: Automated Separated-Federated Graph Neural Network Longfei Zheng Jun Zhou Chaochao Chen Bingzhe Wu L. xilinx Wang Benyu Zhang FedML GNN 84 73 0 06 Nov 2020
FedE: Embedding Knowledge Graphs in Federated Setting Yin Hua Wen Zhang Zonggang Yuan Yantao Jia Huajun Chen FedML 75 81 0 24 Oct 2020
Graph Information Bottleneck Tailin Wu Hongyu Ren Pan Li J. Leskovec AAML 170 240 0 24 Oct 2020
Towards Deeper Graph Neural Networks Meng Liu Hongyang Gao Shuiwang Ji GNN AI4CE 133 611 0 18 Jul 2020
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks Xiao Wang Meiqi Zhu Deyu Bo Peng Cui C. Shi J. Pei BDL 141 495 0 05 Jul 2020
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings Yu Chen Lingfei Wu Mohammed J Zaki 114 420 0 21 Jun 2020
Adaptive Universal Generalized PageRank Graph Neural Network Eli Chien Jianhao Peng Pan Li O. Milenkovic 299 747 0 14 Jun 2020
Data Augmentation for Graph Neural Networks Tong Zhao Yozen Liu Leonardo Neves Oliver J. Woodford Meng Jiang Neil Shah GNN 162 419 0 11 Jun 2020
Graph Structure Learning for Robust Graph Neural Networks Wei Jin Yao Ma Xiaorui Liu Xianfeng Tang Suhang Wang Jiliang Tang OOD AAML 92 711 0 20 May 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 639 957 0 02 Mar 2020
Differentiable Graph Module (DGM) for Graph Convolutional Networks Anees Kazi Luca Cosmo Seyed-Ahmad Ahmadi Nassir Navab M. Bronstein GNN MedIm 91 133 0 11 Feb 2020
Graph-Revised Convolutional Network Donghan Yu Ruohong Zhang Zhengbao Jiang Yuexin Wu Yiming Yang GNN 75 98 0 17 Nov 2019
Learning Disentangled Representations for Recommendation Jianxin Ma Chang Zhou Peng Cui Hongxia Yang Wenwu Zhu CML DRL 94 310 0 31 Oct 2019
Diffusion Improves Graph Learning Johannes Klicpera Stefan Weißenberger Stephan Günnemann GNN 178 717 0 28 Oct 2019
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 286 868 0 28 Sep 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 170 4,570 0 21 Aug 2019