1 code implementation • 26 Aug 2022 • Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine
With the tremendous success of Graph Convolutional Networks (GCNs), they have been widely applied to recommender systems and have shown promising performance.
1 code implementation • 24 Apr 2022 • Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine
To unveil the effectiveness of GCNs for recommendation, we first analyze them in a spectral perspective and discover two important findings: (1) only a small portion of spectral graph features that emphasize the neighborhood smoothness and difference contribute to the recommendation accuracy, whereas most graph information can be considered as noise that even reduces the performance, and (2) repetition of the neighborhood aggregation emphasizes smoothed features and filters out noise information in an ineffective way.
no code implementations • ACL 2021 • Yi Yu, Adam Jatowt, Antoine Doucet, Kazunari Sugiyama, Masatoshi Yoshikawa
In this paper, we address a novel task, Multiple TimeLine Summarization (MTLS), which extends the flexibility and versatility of Time-Line Summarization (TLS).
1 code implementation • 18 Aug 2020 • Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov, Min-Yen Kan
In particular, FANG yields significant improvements for the task of fake news detection, and it is robust in the case of limited training data.
no code implementations • NAACL 2019 • Kishaloy Halder, Min-Yen Kan, Kazunari Sugiyama
Users participate in online discussion forums to learn from others and share their knowledge with the community.
2 code implementations • 18 Nov 2018 • Xuan Su, Animesh Prasad, Min-Yen Kan, Kazunari Sugiyama
Citation function and provenance are two cornerstone tasks in citation analysis.
no code implementations • WS 2018 • Van Hoang Nguyen, Kazunari Sugiyama, Min-Yen Kan, Kishaloy Halder
With Health 2. 0, patients and caregivers increasingly seek information regarding possible drug side effects during their medical treatments in online health communities.
1 code implementation • COLING 2018 • Shenhao Jiang, Animesh Prasad, Min-Yen Kan, Kazunari Sugiyama
Identifying emergent research trends is a key issue for both primary researchers as well as secondary research managers.
no code implementations • 22 Sep 2016 • Siddhartha Banerjee, Prasenjit Mitra, Kazunari Sugiyama
The sentences in the most important document are aligned to sentences in other documents to generate clusters of similar sentences.
no code implementations • 22 Sep 2016 • Siddhartha Banerjee, Prasenjit Mitra, Kazunari Sugiyama
Automatic summarization techniques on meeting conversations developed so far have been primarily extractive, resulting in poor summaries.
no code implementations • 22 Sep 2016 • Siddhartha Banerjee, Prasenjit Mitra, Kazunari Sugiyama
The most informative and well-formed sub-graph obtained by integer linear programming (ILP) is selected to generate a one-sentence summary for each topic segment.