Skip to content
New issue

Have a question about this project? # for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “#”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? # to your account

update gfl paper #420

Merged
merged 1 commit into from
Nov 4, 2022
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
12 changes: 8 additions & 4 deletions materials/paper_list/Federated_Graph_Learning/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -2,10 +2,14 @@

### 2022

| Title | Venue | Link |
| ------------------------------------------------------------ | ----- | ------------------------------------------------------------ |
| FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning | KDD | [pdf](https://dl.acm.org/doi/abs/10.1145/3534678.3539112), [code](https://github.com/alibaba/FederatedScope/tree/master/federatedscope/gfl) |
| Federated Graph Representation Learning using Self-Supervision | CIKM workshop | [pdf](https://arxiv.org/pdf/2210.15120.pdf) |
| Title | Venue | Link |
| ------------------------------------------------------------ | ------------- | ------------------------------------------------------------ |
| FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning | KDD | [pdf](https://dl.acm.org/doi/abs/10.1145/3534678.3539112), [code](https://github.com/alibaba/FederatedScope/tree/master/federatedscope/gfl) |
| Federated Graph Representation Learning using Self-Supervision | CIKM workshop | [pdf](https://arxiv.org/pdf/2210.15120.pdf) |
| FedWalk: Communication Efficient Federated Unsupervised Node Embedding with Differential Privacy | KDD | [pdf](https://arxiv.org/pdf/2205.15896v2.pdf) |
| Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning | ICML | [pdf](https://proceedings.mlr.press/v162/liu22k/liu22k.pdf) |
| Personalized Federated Learning With a Graph | IJCAI | [pdf](https://www.ijcai.org/proceedings/2022/0357.pdf) |
| Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification | IJCAI | [pdf](https://www.ijcai.org/proceedings/2022/0272.pdf) |

### 2021

Expand Down