A curated list of adversarial attacks and defenses papers on graph-structured data.
☆864Dec 15, 2023Updated 2 years ago
Alternatives and similar repositories for graph-adversarial-learning-literature
Users that are interested in graph-adversarial-learning-literature are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A curated collection of adversarial attack and defense on graph data.☆589Nov 7, 2023Updated 2 years ago
- Adversarial attacks and defenses on Graph Neural Networks.☆396Feb 22, 2024Updated 2 years ago
- A pytorch adversarial library for attack and defense methods on images and graphs☆1,084Jun 26, 2025Updated last year
- Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".☆158Dec 9, 2021Updated 4 years ago
- Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)☆129Jul 16, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".☆226May 31, 2022Updated 4 years ago
- G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)☆29Jan 11, 2022Updated 4 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,727Feb 2, 2024Updated 2 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆309May 12, 2023Updated 3 years ago
- A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models☆35May 26, 2021Updated 5 years ago
- Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph M…☆100Nov 6, 2023Updated 2 years ago
- Adversarial training for Graph Neural Networks☆62Feb 26, 2021Updated 5 years ago
- Graph Injection Adversarial Attack & Defense Dataset , extracted from KDD CUP 2020 ML2 Track☆22Aug 19, 2024Updated 2 years ago
- A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).☆89Oct 15, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Adversarial Attacks on Node Embeddings via Graph Poisoning☆59Dec 23, 2019Updated 6 years ago
- A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources☆1,900Sep 13, 2026Updated last month
- links to conference publications in graph-based deep learning☆5,110Oct 20, 2026Updated 2 weeks ago
- code for paper TDGIA:Effective Injection Attacks on Graph Neural Networks (KDD 2021, research track)☆22Nov 5, 2021Updated 4 years ago
- Defending graph neural networks against adversarial attacks (NeurIPS 2020)☆74Jul 6, 2023Updated 3 years ago
- ☆57Oct 5, 2022Updated 4 years ago
- Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS…☆29Nov 17, 2022Updated 3 years ago
- This repository contains the official implementation of the paper "Robustness of Graph Neural Networks at Scale" (NeurIPS, 2021).☆30Jul 25, 2023Updated 3 years ago
- Must-read papers on graph neural networks (GNN)☆16,849Dec 20, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability☆39Nov 27, 2023Updated 2 years ago
- ☆18Jan 12, 2022Updated 4 years ago
- An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)☆64Dec 3, 2023Updated 2 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,100May 6, 2025Updated last year
- A Deep Graph-based Toolbox for Fraud Detection☆764Apr 20, 2022Updated 4 years ago
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆42Dec 7, 2020Updated 5 years ago
- A curated list of graph data augmentation papers.☆312Apr 17, 2024Updated 2 years ago
- A list of backdoor learning resources☆1,187Jul 31, 2024Updated 2 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆937Dec 20, 2023Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification" (ICLR 2020)☆402Jun 17, 2024Updated 2 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆495Dec 5, 2018Updated 7 years ago
- A library for graph deep learning research☆2,009Jul 15, 2024Updated 2 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,670Jun 22, 2023Updated 3 years ago
- Papers about explainability of GNNs☆818Jun 3, 2026Updated 5 months ago
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆475Aug 14, 2023Updated 3 years ago
- Official repository for AAAI'23 paper: Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinf…☆30Nov 26, 2022Updated 3 years ago