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benchmarking-gnns

Repository for benchmarking graph neural networks

concerto

Carcinogenicity prediction with graph neural networks

cornellcswiki

Student-run wiki for students interested in computer science at Cornell University

dqyuan

Personal Page

e-sage

This repository contains the specific implementation of E-SAGE: Explainability-based Defense Against Backdoor Attacks on Graph Neural Networks

explanability_bkd_gnn

Implementation of paper "Explanability-based backdoor attacks against graph neural networks"

gnn-meta-attack

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

gnn-model-explainer

gnn explainer

graphbackdoor

graphlime

This is a Pytorch implementation of GraphLIME

nad

This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks](https://openreview.net/pdf?id=9l0K4OM-oXE) in PyTorch.

planetoid

Semi-supervised learning with graph embeddings

ugba

An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023))