taokz / FedR
Official codes for paper "Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation"
☆23Updated last year
Related projects ⓘ
Alternatives and complementary repositories for FedR
- [Paper][IJCKG2021] FedE: Embedding Knowledge Graphs in Federated Setting☆18Updated 2 years ago
- Source code for IJCKG 2021 paper "FedE: Embedding Knowledge Graphs in Federated Setting"☆22Updated 2 years ago
- Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning, WWW 2023☆19Updated last year
- Code for CIKM 2021 paper: Differentially Private Federated Knowledge Graphs Embedding (https://arxiv.org/abs/2105.07615)☆29Updated last year
- [Paper][IJCAI2022] Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting☆29Updated 2 years ago
- [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing☆58Updated last year
- The code for paper "Cross Platforms Linguals and Models Social Bot Detection via Federated Adversarial Contrastive Knowledge Distillation…☆16Updated last year
- Official Code Repository for the paper - Personalized Subgraph Federated Learning (ICML 2023)☆44Updated last year
- SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.☆44Updated 2 years ago
- ☆10Updated last year
- Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)☆71Updated 2 years ago
- Code for "Graph Contrastive Learning with Cohesive Subgraph Awareness"☆13Updated 8 months ago
- Code for the paper "Quantifying Privacy Leakage in Graph Embedding" published in MobiQuitous 2020☆15Updated 3 years ago
- 🔬 [ECML-PKDD'24] This is the source code and baselines of our paper FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signa…☆15Updated 5 months ago
- ☆15Updated 3 months ago
- [ICML 2023] Optimizing the Collaboration Structure in Cross-Silo Federated Learning. Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He.☆16Updated last year
- Official Code for FedGCN [NeurIPS 2023]☆59Updated 6 months ago
- Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)☆19Updated last year
- This repository is the implementation of Federated Graph Classification over Non-IID Graphs.☆39Updated last year
- FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks☆16Updated last year
- The official code for the paper 'Towards Fair Graph Federated Learning via Incentive Mechanisms'☆10Updated 5 months ago
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆44Updated last year
- G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)☆26Updated 2 years ago
- This repository aims to provide links to works about privacy attacks and privacy preservation on graph data with Graph Neural Networks (G…☆22Updated last year
- Implementation of Adversarial Privacy Graph Embedding in TensorFlow☆19Updated 4 years ago
- Code repository for ACL-IJCNLP 2021 paper 'Poisoning Knowledge Graph Embeddings via Relation Inference Patterns'☆14Updated 2 years ago
- Code repository for EMNLP 2021 paper 'Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods'☆14Updated 2 years ago
- Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"☆14Updated 2 years ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆42Updated last year
- ☆11Updated 2 years ago