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Search results for adversarial attacks graph convolutional networks

adversarial-attacks x

graph-convolutional-networks x

5 search results found

Deeprobust ⭐ 904

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

Ad_examples ⭐ 738

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

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

Simp Gcn ⭐ 12

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

Heterobust ⭐ 9

How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications (KDD'22)

1-5 of 5 search results

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