EdisonLeeeee / Graph-Adversarial-LearningLinks
A curated collection of adversarial attack and defense on graph data.
☆580Updated 2 years ago
Alternatives and similar repositories for Graph-Adversarial-Learning
Users that are interested in Graph-Adversarial-Learning are comparing it to the libraries listed below
Sorting:
- Adversarial attacks and defenses on Graph Neural Networks.☆392Updated last year
- A curated list of adversarial attacks and defenses papers on graph-structured data.☆861Updated 2 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆303Updated 2 years ago
- A curated list for awesome self-supervised learning for graphs.☆388Updated 3 years ago
- A curated list of graph data augmentation papers.☆313Updated last year
- Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".☆221Updated 3 years ago
- Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph M…☆98Updated 2 years ago
- Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".☆154Updated 4 years ago
- Adversarial training for Graph Neural Networks☆61Updated 4 years ago
- Defending graph neural networks against adversarial attacks (NeurIPS 2020)☆71Updated 2 years ago
- A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).☆90Updated last year
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆270Updated last year
- My future research☆415Updated 2 years ago
- Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)☆129Updated 3 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆296Updated 2 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆343Updated last year
- Papers about explainability of GNNs☆783Updated last month
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆400Updated last year
- code for paper TDGIA:Effective Injection Attacks on Graph Neural Networks (KDD 2021, research track)☆22Updated 4 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆333Updated 2 years ago
- Paper List for Fair Graph Learning (FairGL).☆144Updated last year
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆620Updated last year
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆475Updated 2 years ago
- Parameterized Explainer for Graph Neural Network☆142Updated last year
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆337Updated 2 years ago
- A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Informati…☆70Updated 2 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆196Updated last year
- Implementation of Adversarial Privacy Graph Embedding in TensorFlow☆21Updated 5 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆491Updated 7 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆324Updated 2 years ago