Abstract

It is our great pleasure to welcome you to the 2018 International Workshop on Learning Representations for Big Networks (BigNet@WWW2018). This is the third edition of the BigNet workshop series, following its inauguration at the 25th ACM International Conference on Information and Knowledge Management (CIKM 2016) and the second edition at the 26th International World Wide Web Conference (WWW 2017). Recent years have witnessed the emergence of network representation learning research. Different from the feature engineering process in conventional analysis, network representation learning, also know as network embedding, aims to learn the latent low-dimensional representations for objects in networks, such as nodes, links, and groups. Its ultimate objective is to encode networks' structural properties into the latent representations, benefiting all existing network mining tasks, such as node …

Date

2018

Authors

Jie Tang, Michalis Vazirgiannis, Yuxiao Dong, Fragkiskos D Malliaros, Michael Cochez, Mayank Kejriwal, Achim Rettinger

Book

Companion Proceedings of the The Web Conference 2018

Pages

943-944