Popular GitHub Repositories for Graph Convolutional Networks

Graph Neural Network Library for PyTorch

links to conference publications in graph-based deep learning

A distributed graph deep learning framework.

Graph Convolutional Networks for Text Classification. AAAI 2019

? A study guide to learn about Graph Neural Networks (GNNs)

Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org

A pytorch adversarial library for attack and defense methods on images and graphs

An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)

Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020

Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)

Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020

Graph convolutional neural network for multirelational link prediction

Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)

Free hands-on course about Graph Neural Networks using PyTorch Geometric.

1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.

Graph Neural PDEs

Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019

ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks