Brian-ning

MNSF

Multiplex Network Structure Fusion

FFME

An Adaptive Cross-Layer Sampling Based Node Embedding for Multiplex Networks

Graph-Attention-Networks

PyTorch implementation of Graph Attention Networks

GraphSAGE

Unsupervised learning torch version

HMNE

A Multi-level and Multi-phase Representation Learning for Multiplex Network

pygcn

Graph Convolutional Networks in PyTorch

rl-graph-signal-recovery

An attempt to apply reinforcement learning to graph signal recovery problem

ANEF

An Adaptive Node Embedding Framework for Multiplex Networks

Awesome-Graph-Neural-Networks

Paper Lists for Graph Neural Networks

Awesome-Interaction-aware-Trajectory-Prediction

A selection of state-of-the-art research materials on trajectory prediction

GNNPapers

Must-read papers on graph neural networks (GNN)

Graph-neural-networks

littleballoffur

Little Ball of Fur - A graph sampling extension library for NetworkX.

Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress

Papers on Graph neural network(GNN)

Network-Embedding

Open Resources For network embedding

NRLPapers

Must-read papers on network representation learning (NRL) / network embedding (NE)

PMF-CPI

sequence-based compound protein interaction prediction

PyTorch-On-Angel

PyTorch On Angel, arming PyTorch with a powerful Parameter Server, which enable PyTorch to train very big models.

Pytorch_Geometric

The implementation of Graph Sage Based on Pytorch Geometric Package