zhengdao-chen

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

FML2017_DeepBBM

GNN4CD

Supervised community detection with line graph neural networks

gnnlandscape

GNNPapers

Must-read papers on graph neural networks (GNN)

hello_world

nlu-winograd-1

Code and data related to final project for NYU DS-GA 1012

pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

QAP_pt

SRNN

Symplectic Recurrent Neural Networks

zhengdao-chen/GNN4CD

Supervised community detection with line graph neural networks

zhengdao-chen/SRNN

Symplectic Recurrent Neural Networks

zhengdao-chen/dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

zhengdao-chen/FML2017_DeepBBM

zhengdao-chen/gnnlandscape

zhengdao-chen/GNNPapers

Must-read papers on graph neural networks (GNN)

zhengdao-chen/hello_world

zhengdao-chen/nlu-winograd-1

Code and data related to final project for NYU DS-GA 1012

zhengdao-chen/pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

zhengdao-chen/QAP_pt

zhengdao-chen/SEDD

zhengdao-chen/Slides_NeurIPS2019_Equivalence

Slides for the paper "On the equivalence between graph isomorphism and function approximation with GNNs"

zhengdao-chen/SRNN-1

A machine learning system that captures the dynamics of physical systems on the basis of observed trajectories via Hamiltionian modeling and symplectic integration.