abcbot

AP-GCN

Adaptive Propagation Graph Convolutional Network

BGCN

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

GNNPapers

Must-read papers on graph neural networks (GNN)

GraphNeuralNet

A simple Graph Net in PyTorch

mixhop

Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; and UAI 2019 Paper: N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification

MML-Book

Code / solutions for Mathematics for Machine Learning (MML Book)

pgm_graph_inference

Using Graph neural networks for probabilistic approximate inference.

Policy-GNN

abcbot/Policy-GNN

abcbot/AP-GCN

Adaptive Propagation Graph Convolutional Network

abcbot/BGCN

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

abcbot/GNNPapers

Must-read papers on graph neural networks (GNN)

abcbot/GraphNeuralNet

A simple Graph Net in PyTorch

abcbot/mixhop

Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; and UAI 2019 Paper: N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification

abcbot/MML-Book

Code / solutions for Mathematics for Machine Learning (MML Book)

abcbot/pgm_graph_inference

Using Graph neural networks for probabilistic approximate inference.