PetarV-

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

NYU-DLSP20

NYU Deep Learning Spring 2020

flax

Flax is a neural network library for JAX that is designed for flexibility.

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

dm-haiku

JAX-based neural network library

benchmarking-gnns

Repository for benchmarking graph neural networks

pytorch-GAT

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

educational

jraph

A Graph Neural Network Library in Jax

markdown-cv

a simple template to write your CV in a readable markdown file and use CSS to publish/print it.

covid-sim

This is the COVID-19 CovidSim microsimulation model developed by the MRC Centre for Global Infectious Disease Analysis hosted at Imperial College, London.

arxiv-style

A Latex style and template for paper preprints (based on NIPS style)

pretrain-gnns

Strategies for Pre-training Graph Neural Networks

gnn-model-explainer

gnn explainer

SGC

official implementation for the paper "Simplifying Graph Convolutional Networks"

xmanager

A platform for managing machine learning experiments

meta-dataset

A dataset of datasets for learning to learn from few examples

Ordered-Neurons

Code for the paper "Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks"

Mini-Conf

Run a conference from your backyard.

Graph-U-Nets

Pytorch implementation of Graph U-Nets (ICML19)

clrs

pna

Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric

GRACE

[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)

DMGI

Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)

GMI

Graph Representation Learning via Graphical Mutual Information Maximization

GraphLog

API for accessing the GraphLog dataset

gnn

Graph Neural Network

normalized-attention

Code publication to the paper "Normalized Attention Without Probability Cage"