Training MMD GANs.

[ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"

[NeurIPS 2023] "Combating Bilateral Edge Noise for Robust Link Prediction"

[ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"

This repository contains the official implementation of the paper "Robustness of Graph Neural Networks at Scale" (NeurIPS, 2021).

The codebase used to generate the reults in the ICLR 2023 paper "Revisiting Robustness in Graph Machine Learning".

[SDM22] PyTorch implementation for "Neural Graph Matching for Pre-training Graph Neural Networks".

Code for "Random Features Strengthen Graph Neural Networks" (SDM 2021)

The implementation for DropMessage.

Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs

Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs

A curated list of awesome adversarial machine learning resources

Curated list of tools and resources related to the use of machine learning for cyber security