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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].

auto-heg

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

awesome-gnn4ts

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

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

awesome-llm-kg

Awesome papers about unifying LLMs and KGs

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.

awesome-tkgc

bane

BANE: Binarized Attributed Network Embedding - ICDM2018

cola

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

g-ood-d

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

graph-deep-learning

This repository summarises the open source codes of our group

graph-group-discrimination

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

graph_datasets

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

greet

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

gsnop

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

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”

mr-gnas

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

mtg

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

mtgode

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

neural-temporal-walks

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

openwgl

OpenWGL: Open-World Graph Learning, ICDM-2020

psichic

PSICHIC (pronounced Psychic) - PhySIcoCHemICal graph neural network for learning protein-ligand interaction fingerprints from sequence data

rawnp

Official code for RawNP (ECML-PKDD 2023)

reasoning-on-graphs

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

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.

ugcl

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