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2012.04187
Cited By
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs
8 December 2020
Binghui Wang
Ang Li
Xue Yang
Yiran Chen
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Papers citing
"GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs"
50 / 67 papers shown
A Comprehensive Data-centric Overview of Federated Graph Learning
Zhengyu Wu
X. Li
Yinlin Zhu
Zekai Chen
Guochen Yan
...
Hao Zhang
Yuming Ai
X. Jin
Rong-Hua Li
Guoren Wang
FedML
AI4CE
428
4
0
22 Jul 2025
IMPA-HGAE:Intra-Meta-Path Augmented Heterogeneous Graph Autoencoder
Di Lin
Wanjing Ren
Xuanbin Li
Rui Zhang
128
0
0
07 Jun 2025
Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections
Wei Zhuo
Zhaohuan Zhan
Ziduo Yang
FedML
260
0
0
29 May 2025
Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations
Computer Vision and Pattern Recognition (CVPR), 2025
Jiate Li
Meng Pang
Yun Dong
Binghui Wang
AAML
358
1
0
24 Mar 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
Practicable Black-box Evasion Attacks on Link Prediction in Dynamic Graphs -- A Graph Sequential Embedding Method
AAAI Conference on Artificial Intelligence (AAAI), 2024
Jiate Li
Meng Pang
Binghui Wang
AAML
294
4
0
17 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
FedGMark: Certifiably Robust Watermarking for Federated Graph Learning
Neural Information Processing Systems (NeurIPS), 2024
Yuxin Yang
Qiang Li
Yuan Hong
Binghui Wang
AAML
FedML
305
4
0
23 Oct 2024
Federated Temporal Graph Clustering
Yang Liu
Zhenhong Zhou
Xianghong Xu
Yue Liu
FedML
459
0
0
16 Oct 2024
One Node Per User: Node-Level Federated Learning for Graph Neural Networks
Zhidong Gao
Yuanxiong Guo
Yanmin Gong
FedML
196
1
0
29 Sep 2024
Green Federated Learning: A new era of Green Aware AI
ACM Computing Surveys (ACM CSUR), 2024
Dipanwita Thakur
Antonella Guzzo
Giancarlo Fortino
Francesco Piccialli
AI4CE
547
49
0
19 Sep 2024
Optimizing Federated Graph Learning with Inherent Structural Knowledge and Dual-Densely Connected GNNs
Longwen Wang
Jianchun Liu
Zhi Liu
Jinyang Huang
AI4CE
FedML
212
1
0
21 Aug 2024
Contrastive Graph Representation Learning with Adversarial Cross-view Reconstruction and Information Bottleneck
Neural Networks (NN), 2024
Yuntao Shou
Haozhi Lan
Xiangyong Cao
285
29
0
01 Aug 2024
A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning
Yuxin Yang
Qiang Li
Chenfei Nie
Yuan Hong
Meng Pang
Binghui Wang
AAML
FedML
376
2
0
21 Jul 2024
SpreadFGL: Edge-Client Collaborative Federated Graph Learning with Adaptive Neighbor Generation
Luying Zhong
Yueyang Pi
Zheyi Chen
Zhengxin Yu
Wang Miao
Xing Chen
Geyong Min
FedML
277
7
0
14 Jul 2024
Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses
Yuxin Yang
Qiang Li
Jinyuan Jia
Yuan Hong
Binghui Wang
AAML
FedML
265
23
0
12 Jul 2024
HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning
Knowledge Discovery and Data Mining (KDD), 2024
Zhuoning Guo
Duanyi Yao
Qiang Yang
Hao Liu
FedML
305
12
0
15 Jun 2024
Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review
Md. Shahin Ali
M. Ahsan
Lamia Tasnim
Sadia Afrin
Koushik Biswas
Maruf Md. Sajjad Hossain
Md Mahfuz Ahmed
Ronok Hashan
Md. Khairul Islam
Shivakumar Raman
255
29
0
22 May 2024
Safety in Graph Machine Learning: Threats and Safeguards
Song Wang
Yushun Dong
Binchi Zhang
Zihan Chen
Xingbo Fu
Yinhan He
Cong Shen
Chuxu Zhang
Nitesh Chawla
Wenlin Yao
410
11
0
17 May 2024
Federated Graph Condensation with Information Bottleneck Principles
Bo Yan
DD
FedML
260
11
0
07 May 2024
Leverage Variational Graph Representation For Model Poisoning on Federated Learning
Kai Li
Xinnan Yuan
Jingjing Zheng
Wei Ni
Falko Dressler
Abbas Jamalipour
AAML
FedML
357
19
0
23 Apr 2024
Node Classification via Semantic-Structural Attention-Enhanced Graph Convolutional Networks
Hongyin Zhu
GNN
178
3
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
The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning
Omer Subasi
Oceane Bel
Joseph Manzano
Kevin J. Barker
FedML
OOD
PINN
417
4
0
05 Dec 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
Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels
IEEE International Conference on Computer Vision (ICCV), 2023
Yae Jee Cho
Gauri Joshi
Dimitrios Dimitriadis
FedML
165
11
0
17 Jul 2023
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey
SIGKDD Explorations (SIGKDD Explor.), 2023
Dongqi Fu
Wenxuan Bao
Ross Maciejewski
Hanghang Tong
Jingrui He
430
19
0
10 Jul 2023
Federated Domain Generalization: A Survey
Proceedings of the IEEE (Proc. IEEE), 2023
Ying Li
Xingwei Wang
Rongfei Zeng
Praveen Kumar Donta
Ilir Murturi
Min Huang
Schahram Dustdar
OOD
FedML
AI4CE
382
58
0
02 Jun 2023
GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data
Xinwei Zhang
Min-Fong Hong
Jie Chen
FedML
236
6
0
16 Mar 2023
Scalable Neural Network Training over Distributed Graphs
Aashish Kolluri
Sarthak Choudhary
Bryan Hooi
Prateek Saxena
GNN
322
0
0
25 Feb 2023
FedSpectral+: Spectral Clustering using Federated Learning
Janvi Thakkar
Devvrat Joshi
FedML
222
2
0
04 Feb 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
Graph Federated Learning with Hidden Representation Sharing
Shuang Wu
Mingxuan Zhang
Yuantong Li
Carl Yang
Pan Li
FedML
460
2
0
23 Dec 2022
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
AAAI Conference on Artificial Intelligence (AAAI), 2022
Yue Tan
Yixin Liu
Guodong Long
Jing Jiang
Qinghua Lu
Chengqi Zhang
FedML
366
220
0
23 Nov 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
Federated Graph-based Networks with Shared Embedding
Tianyi Yu
Pei-Ci Lai
Fei Teng
FedML
233
3
0
03 Oct 2022
FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs
ACM Transactions on Knowledge Discovery from Data (TKDD), 2022
Taolin Zhang
Chuan Chen
Yaomin Chang
Lin Shu
Zibin Zheng
FedML
281
30
0
29 Aug 2022
Heterogeneous Graph Masked Autoencoders
AAAI Conference on Artificial Intelligence (AAAI), 2022
Yijun Tian
Kaiwen Dong
Chunhui Zhang
Chuxu Zhang
Nitesh Chawla
349
115
0
21 Aug 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
273
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
415
222
0
18 Apr 2022
GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation
USENIX Security Symposium (USENIX Security), 2022
Sina Sajadmanesh
Ali Shahin Shamsabadi
A. Bellet
D. Gática-Pérez
333
103
0
02 Mar 2022
Personalized Federated Learning With Graph
Fengwen Chen
Guodong Long
Zonghan Wu
Tianyi Zhou
Jing Jiang
FedML
487
70
0
02 Mar 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
403
154
0
15 Feb 2022
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