Stars
Entropy Based Sampling and Parallel CoT Decoding
An interactive HTML pretty-printer for machine learning research in IPython notebooks.
Flax is a neural network library for JAX that is designed for flexibility.
A platform for managing machine learning experiments
This repository contains implementations and illustrative code to accompany DeepMind publications
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 entr…
[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
Code publication to the paper "Normalized Attention Without Probability Cage"
API for accessing the GraphLog dataset
This is the COVID-19 CovidSim microsimulation model developed by the MRC Centre for Global Infectious Disease Analysis hosted at Imperial College, London.
Graph Representation Learning via Graphical Mutual Information Maximization
Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
a simple template to write your CV in a readable markdown file and use CSS to publish/print it.
Benchmark datasets, data loaders, and evaluators for graph machine learning
Repository for benchmarking graph neural networks (JMLR 2023)
Strategies for Pre-training Graph Neural Networks
Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)
Pytorch implementation of Graph U-Nets (ICML19)
A dataset of datasets for learning to learn from few examples
A Latex style and template for paper preprints (based on NIPS style)
links to conference publications in graph-based deep learning
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more