Federated Graph Semantic and Structural Learning

27 June 2024

Wenke Huang

Guancheng Wan

Mang Ye

Bo Du

FedML

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Papers citing "Federated Graph Semantic and Structural Learning"

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Title
FedC4: Graph Condensation Meets Client-Client Collaboration for Efficient and Private Federated Graph Learning Zekai Chen Xunkai Li Y. X. Zhu Rong-Hua Li Guoren Wang FedML 22 0 0 19 Apr 2025
Towards Unbiased Federated Graph Learning: Label and Topology Perspectives Zhengyu Wu Boyang Pang Xunkai Li Y. X. Zhu Daohan Su Bowen Fan R. Li Guoren Wang Chenghu Zhou FedML 28 0 0 14 Apr 2025
Federated Prototype Graph Learning Zhengyu Wu Xunkai Li Y. X. Zhu R. Li Guoren Wang Chenghu Zhou FedML 36 0 0 13 Apr 2025
Learning to Reason Over Time: Timeline Self-Reflection for Improved Temporal Reasoning in Language Models Adrián Bazaga Rexhina Blloshmi Bill Byrne Adria de Gispert ReLM LRM 25 0 0 07 Apr 2025
Data-centric Federated Graph Learning with Large Language Models Bo Yan Zhongjian Zhang Huabin Sun Mengmei Zhang Yang Cao C. Shi FedML 58 0 0 25 Mar 2025
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning Xingbo Fu Zihan Chen Yinhan He Song Wang Binchi Zhang Chen Chen Jundong Li OOD FedML 57 1 0 24 Feb 2025
Homophily Heterogeneity Matters in Graph Federated Learning: A Spectrum Sharing and Complementing Perspective Wentao Yu FedML 48 0 0 20 Feb 2025
Federated Graph Learning with Graphless Clients Xingbo Fu Song Wang Yushun Dong Binchi Zhang Chen Chen Jundong Li FedML 23 2 0 13 Nov 2024
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning Guibin Zhang Haonan Dong Yuchen Zhang Zhixun Li Dingshuo Chen Kai Wang Tianlong Chen Yuxuan Liang Dawei Cheng Kun Wang 24 2 0 17 Oct 2024
Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph Guancheng Wan Zewen Liu Max S. Y. Lau B. A. Prakash Wei Jin 69 7 0 28 Sep 2024
DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism Xiaoyan Yu Yifan Wei Pu Li Shuaishuai Zhou Hao Peng Li Sun Liehuang Zhu Philip S. Yu FedML 17 0 0 01 Sep 2024
OpenFGL: A Comprehensive Benchmark for Federated Graph Learning Xunkai Li Y. X. Zhu Boyang Pang Guochen Yan Yeyu Yan Zening Li Zhengyu Wu Wentao Zhang Rong-Hua Li Guoren Wang FedML 28 0 0 29 Aug 2024
Federated Graph Learning with Structure Proxy Alignment Xingbo Fu Zihan Chen Binchi Zhang Chen Chen Jundong Li FedML 34 6 0 18 Aug 2024
Dog Heart Rate and Blood Oxygen Metaverse Interaction System Yanhui Jiang Jin Cao Chang Yu 30 2 0 06 Jun 2024
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity Yuhang Chen Wenke Huang Mang Ye FedML 30 16 0 26 May 2024
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey Mang Ye Wei Shen Bo Du E. Snezhko Vassili Kovalev PongChi Yuen FedML 68 3 0 25 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 V. Chawla Jundong Li 37 7 0 17 May 2024
Deep Reinforcement Learning for Mobile Robot Path Planning Hao Liu Yi Shen Shuangjiang Yu Zijun Gao Tong Wu 21 14 0 10 Apr 2024
Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data Yu Qiao Chaoning Zhang Apurba Adhikary Choong Seon Hong FedML 23 5 0 10 Apr 2024
A Review of Graph Neural Networks in Epidemic Modeling Zewen Liu Guancheng Wan B. A. Prakash Max S. Y. Lau Wei-dong Jin AI4CE 21 36 0 28 Mar 2024
Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching Tianle Zhang Yuchen Zhang Kun Wang Kai Wang Beining Yang Kaipeng Zhang Wenqi Shao Ping Liu Joey Tianyi Zhou Yang You DD 63 13 0 07 Feb 2024
Large Language Models Can Learn Temporal Reasoning Siheng Xiong Ali Payani Ramana Rao Kompella Faramarz Fekri LRM 27 73 0 12 Jan 2024
Dynamic Heterogeneous Federated Learning with Multi-Level Prototypes Shunxin Guo Hongsong Wang Xin Geng FedML 8 7 0 15 Dec 2023
Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning Wenke Huang J. J. Valero-Mas Dasaem Jeong Bo Du FedML 17 44 0 28 Sep 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 17 242 0 20 Jul 2023
Federated Graph Neural Networks: Overview, Techniques and Challenges R. Liu Pengwei Xing Zichao Deng Anran Li Cuntai Guan Han Yu FedML 21 81 0 15 Feb 2022
SEED: Self-supervised Distillation For Visual Representation Zhiyuan Fang Jianfeng Wang Lijuan Wang Lei Zhang Yezhou Yang Zicheng Liu SSL 231 186 0 12 Jan 2021