TNE: Topical Node Embeddings

Motivation

TNE (Topical Node Embeddings) is a general framework to enhance the embeddings of nodes acquired by means of the random walk-based approaches. The proposed method assigns each vertex to a topic/commmunity label with the favor of various statistical models and community detection methods, and then generates the enhanced community representations.

Image

Schematic representation of the TNE model.

Code

The implementation of the TNE framework in Python can be reached at the Github repository.

Contributors

Abdulkadir Ƈelikkanat and Fragkiskos D. Malliaros

References

A. Celikkanat and F. D. Malliaros, TNE: A Latent Model for Representation Learning on Networks, arXiv preprint, 1810.06917, 2018