5 citations · 5 across the 1 of their papers we have counts for
3 papers
Less is More: Reweighting Important Spectral Graph Features for Recommendation
Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine
As much as Graph Convolutional Networks (GCNs) have shown tremendous success in recommender systems and collaborative filtering (CF), the mechanism of how they, especially the core…
FANG: Leveraging Social Context for Fake News Detection Using Graph Representation
Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov +1
We propose Factual News Graph (FANG), a novel graphical social context representation and learning framework for fake news detection. Unlike previous contextual models that have ta…
Neural Multi-Task Learning for Citation Function and Provenance
Xuan Su, Animesh Prasad, Min-Yen Kan +1
Citation function and provenance are two cornerstone tasks in citation analysis. Given a citation, the former task determines its rhetorical role, while the latter locates the text…