This is about collection of papers related with Federated Learning on Graph Data and GNNs.
| Title | Year | Venue | Category | Link |
|---|---|---|---|---|
| Federated Graph Neural Networks: Overview, Techniques and Challenges | 2022 | preprint | survey | [paper] |
| FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning | 2022 | preprint | framework | [paper] [code] |
| Federated Graph Learning - A Position Paper | 2021 | preprint | survey | [paper] |
| FedGraphNN: A Federated Learning Benchmark System for Graph Neural Networks | 2021 | ICLR | framework | [paper] [code] |
| STFL: A Spatial-Temporal Federated Learning Framework for Graph Neural Networks | 2021 | preprint | framework | [paper] [code] |
[Notice]
Level
The level of federated graph data on devices:
node: each client holds a node of the whole graph data.subgraph: each client holds a subset of graph data by overlapping or separating.graph: each client holds a graph data or several graph data.
Task
The tasks defined on graph data in FL refer to Trustworthy Graph Neural Networks: Aspects, Methods and Trends:
NC: Node Classification.GC: Graph Classification.R: Recommendation.
other tasks:
TFFindicates Traffic Flow Forecasting.
| Title | Year | Venue | Keywords | Level | Task | Link | Datasets |
|---|---|---|---|---|---|---|---|
| A Federated Graph Neural Network Framework for Privacy-Preserving Personalization | 2022 | NC | recommendation, privacy-preserving | graph |
R |
[paper] | MovieLens, Flixster, Douban, YahooMusic |
| FedGCN: Convergence and Communication Tradeoffs in Federated Training of Graph Convolutional Networks | 2022 | preprint | communication cost, non-i.i.d | subgraph |
NC |
[paper] | Cora, CiteSeer, PubMed |
| FedGCN: Federated Learning-Based Graph Convolutional Networks for Non-Euclidean Spatial Data | 2022 | Mathematics | GCN, non-Euclidean spatial data, attention mechanism | graph |
GC |
[paper] | D&D, ENZYMES, IMDB-BINARY, REDDIT, PROTEINS, GITHUB-STARGAZERS, COLLAB, IMDB-MULTI, NCI1 |
| FedGraph: Federated Graph Learning with Intelligent Sampling | 2022 | IEEE TPDS | graph sampling, reinforcement learning | subgraph |
NC |
[paper] | Cora, CiteSeer, PubMed, Reddit |
| More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks | 2022 | preprint | robustness | graph |
GC |
[paper] | MOLT-4H, NCI1, PROTEINS, TRIANGLES |
| Privatized Graph Federated Learning | 2022 | preprint | privatized learning, differntial privacy | - | - | [paper] | - |
| A Graph Federated Architecture with Privacy Preserving Learning | 2021 | IEEE SPAWC | differential privacy, secure aggregation | - | - | [paper] | - |
| ASFGNN: Automated separated-federated graph neural network | 2021 | P2P Networking and Applications | Bayesian optimization, privacy preserving | subgraph |
NC |
[paper] | - |
| Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling | 2021 | KDD | traffic flow prediction, split learning | node |
TFF |
[paper] [code] | PEMS-BAY, METR-LA |
| Decentralized Federated Graph Neural Networks | 2021 | IJCAI | serverless | graph |
GC |
[paper] | ESQL, FreeSolv, Lipophilicity, hERG, BACE, BBBP, SIDER, ClinTox, Tox21 |
| Differentially Private Federated Knowledge Graphs Embedding | 2021 | CIKM | knowledge graph | subgraph |
NC |
[paper] [code] | (Knowlege Graphs) |
| Federated Graph Classification over Non-IID Graphs | 2021 | NIPS | non-i.i.d, cross-dataset, cross-domain | graph |
GC |
[paper] | - |
| Federated Graph Neural Network for Cross-graph Node Classification | 2021 | preprint | PATE, privacy-preserving | graph |
NC |
[paper] | Citation, DBLP, ACM |
| Federated Social Recommendation with Graph Neural Network | 2021 | ACM TIST | recommendation, privacy-preserving | node/subgraph |
R |
[paper] | Ciao, Epinions, Filmtrust |
| Glint: Decentralized Federated Graph Learning with Traffic Throttling and Flow Scheduling | 2021 | IWQOS | [paper] | Cora, PubMed, Coauthor physics, Reddit | |||
| SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks | 2021 | preprint | serverless, multi-task learning, non-i.i.d | graph |
GC |
[paper] [code] | SIDER, Tox21, MUV, QM8 |
| Subgraph Federated Learning with Missing Neighbor Generation | 2021 | NIPS | neighbor generation | subgraph |
NC |
[paper] | Cora, CiteSeer, PubMed, MSAcademic |
| GraphFederator: Federated Visual Analysis for Multi-party Graphs | 2020 | preprint | graph |
GC |
[paper] | DBLP, NEGP | |
| Towards Federated Graph Learning for Collaborative Financial Crimes Detection | 2019 | NIPS Workshop | graph |
GC |
[paper] | TechSprint | |
| SGNN: A Graph Neural Network Based Federated Learning Approach by Hiding Structure | 2019 | BigData | subgraph/graph |
NC |
[paper] | Aminer, Brazil, Europe | |
| Peer-to-Peer Federated Learning on Graphs | 2019 | preprint | - | - | [paper] | - |
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