Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP...
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Tra...
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph ...
A Deep Graph-based Toolbox for Fraud Detection
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Des...
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
TypeDB-ML is the Machine Learning integrations library for TypeDB
Code and resources on scalable and efficient Graph Neural Networks
The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph...
Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Ne...
The Pytorch implementation for "Semantic Graph Convolutional Networks fo...
Graph convolutional neural network for multirelational link prediction
Attention Guided Graph Convolutional Networks for Relation Extraction (a...