MortezaRamezani / llcgLinks
Source code for Learn Locally Correct Globally
☆14Updated 3 years ago
Alternatives and similar repositories for llcg
Users that are interested in llcg are comparing it to the libraries listed below
Sorting:
- FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR…☆181Updated last year
- [ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhang…☆67Updated last year
- Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)☆82Updated 3 years ago
- This repository is the implementation of Federated Graph Classification over Non-IID Graphs.☆44Updated 2 years ago
- FedGraph (Federated Graph) is a library built upon PyTorch to easily train Graph Neural Networks under federated setting.☆56Updated last week
- Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.☆346Updated last year
- ☆139Updated 2 years ago
- A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)☆155Updated last year
- ☆101Updated last year
- Official PyTorch implementation of "Cross-Node Federated Graph Neural Network for Spatio-Temporal Modeling".☆70Updated 3 years ago
- Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)☆20Updated 2 years ago
- [ICLR'22] [KDD'22] [IJCAI'24] Implementation of "Graph Condensation for Graph Neural Networks"☆141Updated 10 months ago
- The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"☆92Updated 2 years ago
- A paper collection about automated graph learning☆97Updated last year
- My future research☆413Updated 2 years ago
- Official Code Repository for the paper - Personalized Subgraph Federated Learning (ICML 2023)☆49Updated 2 years ago
- Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS…☆29Updated 2 years ago
- This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Trainin…☆65Updated 2 years ago
- Official Code for FedGCN [NeurIPS 2023]☆69Updated 8 months ago
- SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.☆47Updated 3 years ago
- Paper List for Fair Graph Learning (FairGL).☆141Updated last year
- ☆13Updated 4 years ago
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆63Updated 3 years ago
- Official implementation of "Graph Unlearning" (ACM CCS 2022)☆52Updated 2 months ago
- ☆24Updated 3 years ago
- This repository contains the official implementation of the paper "Robustness of Graph Neural Networks at Scale" (NeurIPS, 2021).☆30Updated 2 years ago
- Papers about out-of-distribution generalization on graphs.☆167Updated 2 years ago
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆33Updated 3 years ago
- How Powerful are Spectral Graph Neural Networks☆73Updated 2 years ago
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆61Updated last year