Defending graph neural networks against adversarial attacks (NeurIPS 2020)
☆72Jul 6, 2023Updated 2 years ago
Alternatives and similar repositories for GNNGuard
Users that are interested in GNNGuard are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆42Jul 25, 2021Updated 4 years ago
- Code for Towards More Practical Adversarial Attacks on Graph Neural Networks (NeurIPS 2020)☆27Nov 13, 2021Updated 4 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆59Mar 11, 2021Updated 5 years ago
- This repository contains the official implementation of the paper "Robustness of Graph Neural Networks at Scale" (NeurIPS, 2021).☆31Jul 25, 2023Updated 2 years ago
- A pytorch adversarial library for attack and defense methods on images and graphs☆1,081Jun 26, 2025Updated 10 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- The implementation of paper "Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks"☆13Jun 17, 2021Updated 4 years ago
- Adversarial attacks and defenses on Graph Neural Networks.☆393Feb 22, 2024Updated 2 years ago
- ☆16Feb 26, 2023Updated 3 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
- A curated list of adversarial attacks and defenses papers on graph-structured data.☆863Dec 15, 2023Updated 2 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆306May 12, 2023Updated 2 years ago
- Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".☆156Dec 9, 2021Updated 4 years ago
- Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.☆21Mar 23, 2021Updated 5 years ago
- On the Robustness of Graph Neural Diffusion to Topology Perturbations☆15Nov 4, 2022Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability☆38Nov 27, 2023Updated 2 years ago
- [NeurIPS'24] The source code for "Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning".☆35Feb 13, 2025Updated last year
- ☆11Sep 20, 2022Updated 3 years ago
- Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks☆29Oct 26, 2021Updated 4 years ago
- This is the official repository for NeurIPS 2023 paper "Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First"☆17Oct 27, 2023Updated 2 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆90Oct 25, 2021Updated 4 years ago
- Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".☆28Jul 8, 2022Updated 3 years ago
- A curated collection of adversarial attack and defense on graph data.☆585Nov 7, 2023Updated 2 years ago
- Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs☆138Nov 29, 2022Updated 3 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.
- 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
- [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…☆39Oct 17, 2023Updated 2 years ago
- Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".☆225May 31, 2022Updated 3 years ago
- A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)☆44Sep 18, 2021Updated 4 years ago
- ☆22Oct 14, 2022Updated 3 years ago
- [NeurIPS 2023] "Combating Bilateral Edge Noise for Robust Link Prediction"☆11Nov 3, 2023Updated 2 years ago
- This repository contains the official implementation of the paper "Reliable Graph Neural Networks via Robust Aggregation" (NeurIPS, 2020)…☆17Mar 16, 2022Updated 4 years ago
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆49Jun 3, 2022Updated 3 years ago
- ☆18Apr 4, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Data and code for "DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection" (KDD 2023)☆25Aug 4, 2023Updated 2 years ago
- Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)☆129Jul 16, 2022Updated 3 years ago
- Official Implementation of Half-Hop☆20Oct 10, 2023Updated 2 years ago
- The source code of the paper "Understanding Graph Neural Networks from Graph Signal Denoising Perspectives"☆23Jun 9, 2020Updated 5 years ago
- Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks against GNN-Based Fraud Detectors (AAA…☆17Oct 24, 2025Updated 6 months ago
- Implementation of paper "Transferring Robustness for Graph Neural Network Against Poisoning Attacks".☆20Feb 26, 2020Updated 6 years ago
- G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)☆30Jan 11, 2022Updated 4 years ago