Search Results for author:
Found 2 papers, 1 papers with code
Network Embedding via Deep Prediction Model
This paper proposes a network embedding framework to capture the transfer behaviors on structured networks via deep prediction models.
Incorporating User's Preference into Attributed Graph Clustering
In contrast to global clustering, local clustering aims to find only one cluster that is concentrating on the given seed vertex (and also on the designated attributes for attributed graphs).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
