links to conference publications in graph-based deep learning

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

Must-read papers on graph neural networks (GNN)

A collection of important graph embedding, classification and representation learning papers with implementations.

Speech synthesis, voice conversion, self-supervised learning, music generation,Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

Paper Lists for Graph Neural Networks

Graph Convolutional Networks in PyTorch

A list of End-to-End speech recognition, including papers, codes and other materials

A tutorial on Graph Convolutional Neural Networks

Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".

Graph Convolutional Networks (GCNs)