Official Code for FedGCN [NeurIPS 2023]
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Jan 18, 2025 - Jupyter Notebook
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federated-graph-learning
Here are 7 public repositories matching this topic...
FedGraph (Federated Graph) is a library built upon PyTorch to easily train Graph Neural Networks under federated setting.
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Aug 18, 2026 - Python
4th place (4/1746) solution of CIKM 2022 AnalytiCup Competition.
competition federated-learning graph-neural-networks cikm2022 federated-graph-learning federated-hetero-task-learning
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Sep 12, 2022 - Python
OpenFGL: A Comprehensive Benchmarks for Federated Graph Learning
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Sep 1, 2024
The official repository of the Benchmarking Non-IID Data in Federated Graph Learning: A Systematic Review of Metrics, Protocols, and Evaluation Practices Paper
machine-learning partitioning-algorithms federated-graph-learning non-iid-data non-iid-client-heterogeneity non-iid-techniques
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Mar 26, 2026 - Python
4th place (4/1746) solution of CIKM 2022 AnalytiCup Competition: Federated Hetero-Task Learning
federated-learning multitask-learning graphclassification federated-graph-learning federated-hetero-task-learning
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Sep 12, 2022 - Python
Official implementation of ETD-FGL: a robust federated graph learning framework for non-IID and adversarial settings.
pytorch adversarial-attacks federated-learning explainable-ai graph-learning graph-neural-networks backdoor-attacks pytorch-geometric gnn robust-federated-learning federated-graph-learning non-iid-data byzantine-robustness
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Aug 22, 2026 - Python
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