ASONAM 2019 2019

Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation

ASONAM 2019 2019 benedekrozemberczki/karateclub

As opposed to manual feature engineering which is tedious and difficult to scale, network representation learning has attracted a surge of research interests as it automates the process of feature learning on graphs.

FEATURE ENGINEERING NETWORK EMBEDDING