zhengdao-chen

GNN4CD

Supervised community detection with line graph neural networks

SRNN

Symplectic Recurrent Neural Networks

dgl

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

FML2017_DeepBBM

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

Slides_NeurIPS2019_Equivalence

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

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.