MortezaRamezani / llcg
Source code for Learn Locally Correct Globally
☆14Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for llcg
- Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)☆71Updated 2 years ago
- This repository is the implementation of Federated Graph Classification over Non-IID Graphs.☆39Updated last year
- [ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhang…☆63Updated last year
- Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)☆19Updated last year
- FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR…☆180Updated 11 months ago
- Official PyTorch implementation of "Cross-Node Federated Graph Neural Network for Spatio-Temporal Modeling".☆65Updated 3 years ago
- ☆21Updated 2 years ago
- Official Code for FedGCN [NeurIPS 2023]☆59Updated 6 months ago
- 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
- FedGraph (Federated Graph) is a library built upon PyTorch to easily train Graph Neural Networks (GNNs) under federated (distributed) set…☆22Updated this week
- Official repository for AAAI'23 paper: Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinf…☆21Updated 2 years ago
- A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)☆144Updated 6 months ago
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆32Updated 2 years ago
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆55Updated last year
- [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing☆58Updated 2 years ago
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆60Updated 6 months ago
- ☆24Updated 2 years ago
- How Powerful are Spectral Graph Neural Networks☆70Updated last year
- Streaming Graph Neural Networks via Continual Learning (CIKM 2020)☆41Updated 3 years ago
- ☆30Updated last year
- Incremental Training of Graph Neural Networks on Temporal Graphs under Distribution Shift☆8Updated 3 years ago
- This repository contains the official implementation of the paper "Robustness of Graph Neural Networks at Scale" (NeurIPS, 2021).☆28Updated last year
- Official implementation of "Graph Unlearning" (ACM CCS 2022)☆40Updated last year
- The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"☆82Updated 2 years ago
- ☆136Updated last year
- A collection of graph data used for semi-supervised node classification.☆35Updated 2 years ago
- Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)☆20Updated 2 years ago
- ☆50Updated last week
- A paper collection about automated graph learning☆96Updated 5 months ago