246 citations · 398 across the 7 of their papers we have counts for
7 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…
Abstractive Meeting Summarization UsingDependency Graph Fusion
Siddhartha Banerjee, Prasenjit Mitra, Kazunari Sugiyama
Automatic summarization techniques on meeting conversations developed so far have been primarily extractive, resulting in poor summaries. To improve this, we propose an approach to…
Multi-document abstractive summarization using ILP based multi-sentence compression
Siddhartha Banerjee, Prasenjit Mitra, Kazunari Sugiyama
Abstractive summarization is an ideal form of summarization since it can synthesize information from multiple documents to create concise informative summaries. In this work, we ai…
Generating Abstractive Summaries from Meeting Transcripts
Siddhartha Banerjee, Prasenjit Mitra, Kazunari Sugiyama
Summaries of meetings are very important as they convey the essential content of discussions in a concise form. Generally, it is time consuming to read and understand the whole doc…
Product Review Summarization based on Facet Identification and Sentence Clustering
Duy Khang Ly, Kazunari Sugiyama, Ziheng Lin +1
Product review nowadays has become an important source of information, not only for customers to find opinions about products easily and share their reviews with peers, but also fo…