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2011.03248
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ASFGNN: Automated Separated-Federated Graph Neural Network
6 November 2020
Longfei Zheng
Jun Zhou
Chaochao Chen
Bingzhe Wu
L. xilinx Wang
Benyu Zhang
FedML
GNN
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Papers citing
"ASFGNN: Automated Separated-Federated Graph Neural Network"
39 / 39 papers shown
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
Zihan Chen
Xingbo Fu
Yushun Dong
Jundong Li
Cong Shen
FedML
835
2
0
29 Apr 2025
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence
Liekang Zeng
Shengyuan Ye
Xu Chen
Xiaoxi Zhang
Ju Ren
Jian Tang
Yang Yang
Xuemin
Shen
554
13
0
08 Jan 2025
FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks
Siddharth Ambekar
Yuhang Yao
Ryan Li
Carlee Joe-Wong
FedML
365
1
0
20 Dec 2024
Query-Efficient Adversarial Attack Against Vertical Federated Graph Learning
Jinyin Chen
Wenbo Mu
Luxin Zhang
Guohan Huang
Haibin Zheng
Yao Cheng
FedML
AAML
333
1
0
05 Nov 2024
A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures
Hao Song
Jiacheng Yao
Zhengxi Li
Shaocong Xu
Shibo Jin
Jiajun Zhou
Chenbo Fu
Qi Xuan
Shanqing Yu
FedML
275
0
0
24 Mar 2024
Towards Fair Graph Federated Learning via Incentive Mechanisms
Chenglu Pan
Jiarong Xu
Yue Yu
Ziqi Yang
Qingbiao Wu
Chunping Wang
Lei Chen
Yang Yang
FedML
259
20
0
20 Dec 2023
Cooperative Network Learning for Large-Scale and Decentralized Graphs
Qiang Wu
Yiming Huang
Yujie Zeng
Yujie Teng
Fang Zhou
Linyuan Lu
GNN
FedML
225
0
0
03 Nov 2023
Equipping Federated Graph Neural Networks with Structure-aware Group Fairness
Industrial Conference on Data Mining (IDM), 2023
Nan Cui
Xiuling Wang
Wendy Hui Wang
Violet Chen
Yue Ning
FedML
302
4
0
18 Oct 2023
2SFGL: A Simple And Robust Protocol For Graph-Based Fraud Detection
Zhirui Pan
Guangzhong Wang
Zhaoning Li
Lifeng Chen
Yang Bian
Zhongyuan Lai
FedML
295
4
0
12 Oct 2023
Label Inference Attacks against Node-level Vertical Federated GNNs
Marco Arazzi
Mauro Conti
Stefanos Koffas
Marina Krček
Antonino Nocera
S. Picek
Jing Xu
FedML
AAML
329
2
0
04 Aug 2023
Federated Large Language Model: A Position Paper
Chaochao Chen
Xiaohua Feng
Jun Zhou
Jianwei Yin
Xiaolin Zheng
225
35
0
18 Jul 2023
GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data
Xinwei Zhang
Min-Fong Hong
Jie Chen
FedML
234
6
0
16 Mar 2023
Scalable Neural Network Training over Distributed Graphs
Aashish Kolluri
Sarthak Choudhary
Bryan Hooi
Prateek Saxena
GNN
321
0
0
25 Feb 2023
SplitGNN: Splitting GNN for Node Classification with Heterogeneous Attention
Xiaolong Xu
Lingjuan Lyu
Yihong Dong
Yicheng Lu
Weiqiang Wang
Hong Jin
FedML
185
4
0
27 Jan 2023
Federated Learning over Coupled Graphs
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2023
Runze Lei
Peijie Wang
Junzhou Zhao
Lin Lan
Jing Tao
Chao Deng
Junlan Feng
Xidian Wang
Xiaohong Guan
FedML
292
25
0
26 Jan 2023
Graph Federated Learning for CIoT Devices in Smart Home Applications
IEEE Internet of Things Journal (IEEE IoT J.), 2022
Arash Rasti-Meymandi
S. M. Sheikholeslami
J. Abouei
Konstantinos N. Plataniotis
FedML
378
26
0
29 Dec 2022
GNN at the Edge: Cost-Efficient Graph Neural Network Processing over Distributed Edge Servers
IEEE Journal on Selected Areas in Communications (JSAC), 2022
Liekang Zeng
Chong Yang
Peng Huang
Zhi Zhou
Shuai Yu
Xu Chen
GNN
242
47
0
31 Oct 2022
Federated Graph Representation Learning using Self-Supervision
Susheel Suresh
Daniel Godbout
Arko Provo Mukherjee
Mayank Shrivastava
Jennifer Neville
Pan Li
OOD
FedML
183
2
0
27 Oct 2022
Privacy-Preserved Neural Graph Similarity Learning
Industrial Conference on Data Mining (IDM), 2022
Yupeng Hou
Wayne Xin Zhao
Yaliang Li
Ji-Rong Wen
301
1
0
21 Oct 2022
Mitigating the Performance Sacrifice in DP-Satisfied Federated Settings through Graph Contrastive Learning
Information Sciences (Inf. Sci.), 2022
Haoran Yang
Xiangyu Zhao
Muyang Li
Hongxu Chen
Guandong Xu
FedML
244
5
0
24 Jul 2022
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications
SIGKDD Explorations (SIGKDD Explor.), 2022
Xingbo Fu
Binchi Zhang
Yushun Dong
Chen Chen
Jundong Li
FedML
OOD
AI4CE
385
61
0
24 Jul 2022
FedWalk: Communication Efficient Federated Unsupervised Node Embedding with Differential Privacy
Knowledge Discovery and Data Mining (KDD), 2022
Qiying Pan
Yifei Zhu
FedML
271
24
0
31 May 2022
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection
Bingzhe Wu
Jintang Li
Junchi Yu
Yatao Bian
Hengtong Zhang
...
Guangyu Sun
Peng Cui
Zibin Zheng
Yanfeng Guo
P. Zhao
OOD
380
29
0
20 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Proceedings of the IEEE (Proc. IEEE), 2022
He Zhang
Bang Wu
Lizhen Qu
Shirui Pan
Hanghang Tong
Jian Pei
438
165
0
16 May 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability
Machine Intelligence Research (MIR), 2022
Enyan Dai
Tianxiang Zhao
Huaisheng Zhu
Jun Xu
Zhimeng Guo
Hui Liu
Shucheng Zhou
Suhang Wang
408
222
0
18 Apr 2022
Federated Graph Neural Networks: Overview, Techniques and Challenges
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
R. Liu
Pengwei Xing
Zichao Deng
Anran Li
Cuntai Guan
Han Yu
FedML
401
154
0
15 Feb 2022
FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks
Neural Information Processing Systems (NeurIPS), 2022
Yuhang Yao
Weizhao Jin
Yu Yang
Carlee Joe-Wong
GNN
FedML
398
55
0
28 Jan 2022
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Jiangchao Yao
Shengyu Zhang
Yang Yao
Feng Wang
Jianxin Ma
...
Kun Kuang
Chao-Xiang Wu
Leilei Gan
Jingren Zhou
Hongxia Yang
451
155
0
11 Nov 2021
FedGraph: Federated Graph Learning with Intelligent Sampling
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2021
Fahao Chen
Peng Li
T. Miyazaki
Celimuge Wu
FedML
191
119
0
02 Nov 2021
Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based Vertical Federated Learning
Jinyin Chen
Guohan Huang
Haibin Zheng
Shanqing Yu
Wenrong Jiang
Chen Cui
AAML
FedML
394
40
0
13 Oct 2021
Towards Secure and Practical Machine Learning via Secret Sharing and Random Permutation
Fei Zheng
Chaochao Chen
Xiaolin Zheng
Mingjie Zhu
FedML
189
22
0
17 Aug 2021
Towards Representation Identical Privacy-Preserving Graph Neural Network via Split Learning
Chuanqiang Shan
Hui Jiao
Jie Fu
216
16
0
13 Jul 2021
Federated Graph Learning -- A Position Paper
Hu Zhang
Tao Shen
Leilei Gan
Mingyang Yin
Hongxia Yang
Chao Wu
FedML
260
66
0
24 May 2021
Cluster-driven Graph Federated Learning over Multiple Domains
Debora Caldarola
Goran Frehse
Fabio Galasso
Marco Ciccone
Emanuele Rodolà
Barbara Caputo
FedML
316
104
0
29 Apr 2021
From Distributed Machine Learning to Federated Learning: A Survey
Knowledge and Information Systems (KAIS), 2021
Ji Liu
Jizhou Huang
Yang Zhou
Xuhong Li
Shilei Ji
Haoyi Xiong
Dejing Dou
FedML
OOD
432
333
0
29 Apr 2021
FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks
Chaoyang He
Keshav Balasubramanian
Emir Ceyani
Carl Yang
Han Xie
...
Yu Rong
P. Zhao
Junzhou Huang
M. Annavaram
Salman Avestimehr
FedML
OOD
282
2
0
14 Apr 2021
Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty
Yilun Lin
Chaochao Chen
Cen Chen
Li Wang
FedML
194
10
0
23 Nov 2020
Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications
Chaochao Chen
Jamie Cui
Guanfeng Liu
Hongzhi Zhang
Li Wang
299
28
0
20 Nov 2020
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification
Chaochao Chen
Jun Zhou
Longfei Zheng
Huiwen Wu
Lingjuan Lyu
Hongzhi Zhang
Bingzhe Wu
Ziqi Liu
L. xilinx Wang
Xiaolin Zheng
FedML
522
122
0
25 May 2020
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