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7 search results found

Awesome Graph Attack Papers ⭐ 315

Adversarial attacks and defenses on Graph Neural Networks.

Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)

Awesome Distribution Shift ⭐ 57

A curated list of papers and resources about the distribution shift in machine learning.

An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))

Robust Gcn ⭐ 29

Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".

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)

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