Implementation of the paper 'Deep Learning of Graph Matching', CVPR 2018.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019
Geometric Deep Learning Extension Library for PyTorch
A comprehensive collection of recent papers on graph deep learning
links to conference publications in graph-based deep learning
A distributed graph deep learning framework.
Graph-mind is a "graph learning" engine for main of NLP mission or other learning mission, we want use graph model to improve machine learning and deep learning components. And it is supported by AI403-lab from Kunming University of Science and Technology and Maching-Learning lab from South China University of Technology.