Graph Analysis & Deep Learning Laboratory, GRAND

ANEMONE

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

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].

Awesome-Graph-Neural-Networks

Paper Lists for Graph Neural Networks

CoLA

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

graph_datasets

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

MERIT

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

MTGODE

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

SUBLIME

[WWW'22] Towards Unsupervised Deep Graph Structure Learning

TriDNR

Tri-Party Deep Network Representation, IJCAI-16

UDAGCN

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

GRAND-Lab/Awesome-Graph-Neural-Networks

Paper Lists for Graph Neural Networks

GRAND-Lab/graph_datasets

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

GRAND-Lab/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].

GRAND-Lab/SUBLIME

[WWW'22] Towards Unsupervised Deep Graph Structure Learning

GRAND-Lab/TriDNR

Tri-Party Deep Network Representation, IJCAI-16

GRAND-Lab/CoLA

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

GRAND-Lab/MTGODE

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

GRAND-Lab/UDAGCN

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

GRAND-Lab/ANEMONE

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

GRAND-Lab/MERIT

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

GRAND-Lab/MGAE

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

GRAND-Lab/graph-deep-learning

This repository summarises the open source codes of our group

GRAND-Lab/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.

GRAND-Lab/GSNOP

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

GRAND-Lab/MR-GNAS

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

GRAND-Lab/OpenWGL

OpenWGL: Open-World Graph Learning, ICDM-2020

GRAND-Lab/Awesome-GNN4TS

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

GRAND-Lab/Awesome-LLM-KG

Awesome papers about unifying LLMs and KGs

GRAND-Lab/MTG

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

GRAND-Lab/BANE

BANE: Binarized Attributed Network Embedding - ICDM2018

GRAND-Lab/GREET

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

GRAND-Lab/Neural-Temporal-Walks

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

GRAND-Lab/RawNP

Official code for RawNP (ECML-PKDD 2023)

GRAND-Lab/reasoning-on-graphs

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

GRAND-Lab/Auto-HeG

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

GRAND-Lab/Awesome-TKGC

GRAND-Lab/G-OOD-D

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

GRAND-Lab/Graph-Group-Discrimination

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

GRAND-Lab/UGCL

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