taokz / FedR
Official codes for paper "Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation"
☆23Updated last year
Alternatives and similar repositories for FedR:
Users that are interested in FedR are comparing it to the libraries listed below
- Code for CIKM 2021 paper: Differentially Private Federated Knowledge Graphs Embedding (https://arxiv.org/abs/2105.07615)☆31Updated 2 years ago
- Source code for IJCKG 2021 paper "FedE: Embedding Knowledge Graphs in Federated Setting"☆23Updated 2 years ago
- [Paper][IJCKG2021] FedE: Embedding Knowledge Graphs in Federated Setting☆18Updated 2 years ago
- Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning, WWW 2023☆22Updated last year
- [Paper][IJCAI2022] Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting☆29Updated 2 years ago
- The code for paper "Cross Platforms Linguals and Models Social Bot Detection via Federated Adversarial Contrastive Knowledge Distillation…☆16Updated last year
- [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing☆60Updated 2 years ago
- Official Code Repository for the paper - Personalized Subgraph Federated Learning (ICML 2023)☆45Updated last year
- Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)☆72Updated 3 years ago
- SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.☆45Updated 2 years ago
- [ICML 2023] Optimizing the Collaboration Structure in Cross-Silo Federated Learning. Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He.☆17Updated last year
- ☆15Updated 5 months ago
- This repository is the implementation of Federated Graph Classification over Non-IID Graphs.☆40Updated last year
- Code for "Graph Contrastive Learning with Cohesive Subgraph Awareness"☆14Updated 10 months ago
- Official Code for FedGCN [NeurIPS 2023]☆60Updated last month
- Code for Federated Social Recommendation with Graph Neural Network☆24Updated 2 years ago
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆45Updated last year
- The official code for the paper 'Towards Fair Graph Federated Learning via Incentive Mechanisms'☆12Updated 7 months ago
- FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks☆16Updated last year
- code of FedGNN☆85Updated 2 years ago
- ☆10Updated last year
- FedGS: Federated Graph-based Sampling with Arbitrary Client Availability, arxiv.org/abs/2211.13975) was accepted by AAAI 2023 Conference.☆16Updated 2 years ago
- Code for the paper "Quantifying Privacy Leakage in Graph Embedding" published in MobiQuitous 2020☆15Updated 3 years ago
- Implementation of Adversarial Privacy Graph Embedding in TensorFlow☆19Updated 4 years ago
- [AAAI 2023] Official PyTorch implementation for "Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings…☆21Updated 2 years ago
- ☆26Updated 2 years ago
- Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs, AAAI 2023☆29Updated 2 years ago
- ☆11Updated 2 years ago
- A coupled vertical federated learning framework that boosts the model performance with record similarities (NeurIPS 2022)☆25Updated last year
- Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"☆29Updated last year