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Search results for graph neural networks adversarial attacks

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15 search results found

Deeprobust ⭐ 904

A pytorch adversarial library for attack and defense methods on images and graphs

Awesome Graph Attack Papers ⭐ 315

Adversarial attacks and defenses on Graph Neural Networks.

Pro Gnn ⭐ 213

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

Awesome Computer Vision ⭐ 186

Awesome Resources for Advanced Computer Vision Topics

Gnn Meta Attack ⭐ 106

Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.

A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).

[ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability

[ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"

Well Classified Examples Are Underestimated ⭐ 24

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)

Gnnguard ⭐ 22

Defending graph neural networks against adversarial attacks (NeurIPS 2020)

Simp Gcn ⭐ 12

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

Pytorch Gnn Meta Attack ⭐ 8

Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.

Linkteller ⭐ 5

LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis

Official Repository for "Adversarial Attack on Large Scale Graph." [TKDE 2021]

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Python Graph Neural Networks (439)

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