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Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networksgraph_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 LearningCoLA
[TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised LearningTriDNR
Tri-Party Deep Network Representation, IJCAI-16MTGODE
[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 groupOpenWGL
OpenWGL: Open-World Graph Learning, ICDM-2020MTG
Joint Structure Feature Exploration and Regularization for Multi-Task Graph ClassificationLove Open Source and this site? Check out how you can help us