This repository contains the code for ongoing research aiming to improve preformance of Random Walk procedure for Graph Embeddings.
The basis for this research are following papers:
node2vec: Scalable Feature Learning for Networks
Grover, Aditya and Leskovec, Jure
https://arxiv.org/abs/1607.00653
and
The More the Merrier: Efficient Multi-Source Graph Traversal
Then, Kaufmann, Chirigati, Hoang-Vu†, Pham, Kemper, Neumann, Vo
http://www.vldb.org/pvldb/vol8/p449-then.pdf
Will be published after research is finalized.