Generate embeddings from large-scale graph-structured data.

Research code for "Choosing to grow a graph" project. Contains code for network generation and model estimation.

Linux kernel source tree

Galois: C++ library for multi-core and multi-node parallelization

A curated list of network embedding techniques.

Graph Neural Network Library for PyTorch

Representation learning on large graphs using stochastic graph convolutions.

Representation learning on large graphs using stochastic graph convolutions.

Compare outputs between layers written in Tensorflow and layers written in Pytorch

Equivalence Between Structural Representations and Positional Node Embeddings

links to conference publications in graph-based deep learning

TensorFlow 2 library implementing Graph Neural Networks

Getting interpretable dimensions in word embedding spaces.

official implementation for the paper "Simplifying Graph Convolutional Networks"

Representation learning for link prediction within social networks

Multivariate imputation and matrix completion algorithms implemented in Python

A database with automatic dynamic imputation of missing values.

On the Dimensionality of Word Embedding

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

An Open-Source Package for Network Embedding (NE)

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Deep and conventional community detection related papers, implementations, datasets, and tools.

程序员延寿指南 | A programmer's guide to live longer

编程之路