Popular GitHub Repositories for Random Walk

A distributed graph deep learning framework.

From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)

Code and dataset for our paper "Replicate, Walk, and Stop on Syntax: an Effective Neural Network Model for Aspect-Level Sentiment Classification", AAAI2020

Official Pytorch implementation of NeuralWalker

Graph clustering and Node embeddings with word2vec

Source Code for IJCAI 2018 paper "Biased Random Walk based Social Regularization for Word Embeddings"

embeddings for hyperedges in a hypergraph

...some examples of implementation of the main algorithms used in algorithmic composition: