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gcn_anomalydetection_pytorch

PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)

gcool

PyTorch implementation of the paper "Graph Communal Contrastive Learning" (WWW 2022)

geniepath-pytorch

PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxiv.org/abs/1802.00910)

gib

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

glod-issues

Source code and additional results for GLOD issues

glognn

ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily

gnn-fakenews

A collection of GNN-based fake news detection models.

gnn-lspe

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

gnnguard

Defending graph neural networks against adversarial attacks (NeurIPS 2020)

gnns-

This is a repository used to preserve codes about GNNs.

gnns-and-local-assortativity

This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns"

goal-graph-complementary-learning

The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs"

gpcn

graph-adversarial-learning-literature

A curated list of adversarial attacks and defenses papers on graph-structured data.

graph-diffusion-cde

Graph Neural Convection-Diffusion with Heterophily

graph-fraud-detection-papers

A curated list of fraud detection papers using graph information or graph neural networks

graph-neural-networks-with-heterophily

This repository contains the resources on graph neural network (GNN) considering heterophily.

graph_adversarial_attack

Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)

graphcad

TKDE'22-GraphCAD: https://arxiv.org/pdf/2108.07516.pdf

graphmix

Code for reproducing results in GraphMix paper

graphreshape

Code implementation of the paper: Graph Structure Reshaping Against Adversarial Attacks on Graph Neural Networks, which has been submitted to TKDE for review.

gtrans

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

h2-fdetector

h2gcn-pytorch

A pytorch implementation of H2GCN raised in the paper "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs".

hybrid_robustness

Implementation of Deep Hybrid Models (DHMs) consisting of Variational Autoencoders and Residual Neural Networks. Analysis with respect to Adversarial Robustness, Anomaly Detection and Expected Calibration Error.

imgagn

Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks

long-tailed-ood-detection

Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (ICML'22 Long Presentation)

machine-learning-for-cyber-security

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

meta-gdn_anomalydetection

Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning

node_embedding_attack

Adversarial Attacks on Node Embeddings via Graph Poisoning