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FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
v1v2 (latest)

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

29 April 2025
Zihan Chen
Xingbo Fu
Yushun Dong
Jundong Li
Cong Shen
    FedML
ArXiv (abs)PDFHTML

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
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
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
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
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
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
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
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
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
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
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
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
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
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
How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision
Dongkwan Kim
Alice Oh
SSLGNN
127
260
0
11 Apr 2022
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving
  Relation Embedding Aggregation
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
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
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
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
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
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
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
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
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
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
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?
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
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
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
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
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
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
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
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
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
ASFGNN: Automated Separated-Federated Graph Neural Network
Longfei Zheng
Jun Zhou
Chaochao Chen
Bingzhe Wu
L. xilinx Wang
Benyu Zhang
FedMLGNN
84
73
0
06 Nov 2020
FedE: Embedding Knowledge Graphs in Federated Setting
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
Graph Information Bottleneck
Tailin Wu
Hongyu Ren
Pan Li
J. Leskovec
AAML
170
240
0
24 Oct 2020
Towards Deeper Graph Neural Networks
Towards Deeper Graph Neural Networks
Meng Liu
Hongyang Gao
Shuiwang Ji
GNNAI4CE
133
611
0
18 Jul 2020
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
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
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
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
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
Graph Structure Learning for Robust Graph Neural Networks
Wei Jin
Yao Ma
Xiaorui Liu
Xianfeng Tang
Suhang Wang
Jiliang Tang
OODAAML
92
711
0
20 May 2020
Benchmarking Graph Neural Networks
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
Differentiable Graph Module (DGM) for Graph Convolutional Networks
Anees Kazi
Luca Cosmo
Seyed-Ahmad Ahmadi
Nassir Navab
M. Bronstein
GNNMedIm
91
133
0
11 Feb 2020
Graph-Revised Convolutional Network
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
Learning Disentangled Representations for Recommendation
Jianxin Ma
Chang Zhou
Peng Cui
Hongxia Yang
Wenwu Zhu
CMLDRL
94
310
0
31 Oct 2019
Diffusion Improves Graph Learning
Diffusion Improves Graph Learning
Johannes Klicpera
Stefan Weißenberger
Stephan Günnemann
GNN
178
717
0
28 Oct 2019
Multi-scale Attributed Node Embedding
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
Federated Learning: Challenges, Methods, and Future Directions
Tian Li
Anit Kumar Sahu
Ameet Talwalkar
Virginia Smith
FedML
170
4,570
0
21 Aug 2019
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