Graph Analysis & Deep Learning Laboratory, GRAND

Awesome-Graph-Neural-Networks

Paper Lists for Graph Neural Networks

graph_datasets

A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).

ARGA

This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].

SUBLIME

[WWW'22] Towards Unsupervised Deep Graph Structure Learning

TriDNR

Tri-Party Deep Network Representation, IJCAI-16

CoLA

[TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning

MTGODE

[TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".

UDAGCN

Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.

ANEMONE

[CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".

MERIT

[IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".

MGAE

Implementation of the CIKM-17 paper “MGAE: Marginalized Graph Autoencoder for Graph Clustering”

graph-deep-learning

This repository summarises the open source codes of our group

Awesome-TimeSeries-SpatioTemporal-LM-LLM

A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.

GSNOP

Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.

MR-GNAS

Pytorch implementation of ICDM'22 "Multi-Relational Graph Neural Architecture Search with Fine-grained Message Passing"

OpenWGL

OpenWGL: Open-World Graph Learning, ICDM-2020

Awesome-GNN4TS

Awesome resources related to GNNs for Time Series Analysis (GNN4TS) 🔥 https://arxiv.org/abs/2307.03759

Awesome-LLM-KG

Awesome papers about unifying LLMs and KGs

MTG

Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification

BANE

BANE: Binarized Attributed Network Embedding - ICDM2018

GREET

A PyTorch implementation of "Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating", AAAI-23

Neural-Temporal-Walks

[NIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs"

RawNP

Official code for RawNP (ECML-PKDD 2023)

reasoning-on-graphs

Official Implementation of "Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning"

Auto-HeG

Pytorch implementation of WWW'23:"Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs"

Awesome-TKGC

G-OOD-D

A PyTorch implementation of "GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection", WSDM-23

Graph-Group-Discrimination

Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination"

UGCL

The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"