EnyanDai

data-centric-AI

A curated, but incomplete, list of data-centric AI resources.

awesome-protein-representation-learning

Awesome Protein Representation Learning

ProG

A Unified Python Library for Graph Prompting

Awesome-Information-Bottleneck

This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.

awesome-graph-generation

Scientific-LLM-Survey

Scientific Large Language Models: A Survey on Biological & Chemical Domains

Graph-Neural-Networks-With-Heterophily

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

fair-classification

Python code for training fair logistic regression classifiers.

Learning_Python

Source material for Python Like You Mean it

GSAT

[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.

GraphSmote

Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021

GANF

Offical implementation of "Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series" (ICLR 2022)

PyGDebias

Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms

UGBA

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

GraphBackdoor

ProtGNN

Official implementation of AAAI'22 paper "ProtGNN: Towards Self-Explaining Graph Neural Networks"

RelaxLoss

Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)

NRGNN

Offical pytorch implementation of proposed NRGNN and Compared Methods in "NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs" (KDD 2021).

fair_ERM

Fair Empirical Risk Minimization (FERM)

GIA-HAO

[ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability

RSGNN

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

BM-GCN

The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".

graphbackdoor

A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)

CLNTM

awesome-turstworthy-graph-neural-networks

rebMIGraph

SEGNN

A PyTorch implementation of "Towards Self-Explainable Graph Neural Network" (CIKM 2021).

scholar-network

Google Scholar Network Work and Dashboard

LWGCN

An official PyTorch implementation of "Label-Wise Graph Convolutional Network for Heterophilic Graphs" (LOG 2022)

UGBA

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