EdisonLeeeee / Graph-Adversarial-Learning
A curated collection of adversarial attack and defense on graph data.
☆563Updated last year
Alternatives and similar repositories for Graph-Adversarial-Learning:
Users that are interested in Graph-Adversarial-Learning are comparing it to the libraries listed below
- A curated list of adversarial attacks and defenses papers on graph-structured data.☆840Updated last year
- Adversarial attacks and defenses on Graph Neural Networks.☆375Updated 11 months ago
- A curated list for awesome self-supervised learning for graphs.☆379Updated 2 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆291Updated last year
- Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".☆220Updated 2 years ago
- Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".☆146Updated 3 years ago
- A curated list of graph data augmentation papers.☆304Updated 9 months ago
- Papers about explainability of GNNs☆693Updated 3 weeks ago
- A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).☆85Updated 4 months ago
- Papers about developing deep Graph Neural Networks (GNNs)☆302Updated last year
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆918Updated 7 months ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆570Updated 6 months ago
- Strategies for Pre-training Graph Neural Networks☆985Updated last year
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆393Updated 7 months ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆319Updated 9 months ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆316Updated last year
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆326Updated last year
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,636Updated last year
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆461Updated 6 years ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆238Updated 2 months ago
- A pytorch adversarial library for attack and defense methods on images and graphs☆1,013Updated 6 months ago
- Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)☆127Updated 2 years ago
- ☆263Updated 2 years ago
- gnn explainer☆924Updated 5 months ago
- Deep and conventional community detection related papers, implementations, datasets, and tools.☆515Updated last year
- Bag of Tricks for Graph Neural Networks.☆291Updated 6 months ago
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆408Updated 4 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆471Updated 2 years ago
- An Open-Source Toolkit for Heterogeneous Information Network Embedding (HINE)☆323Updated last year
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆478Updated 2 years ago