1 citations · 1 across the 7 of their papers we have counts for
8 papers
Declining Modularity of Intellectual Bases During the Emergence of Research Areas
Kazuki Nakajima, Yuya Sasaki, Masaki Aida
Understanding how research areas emerge can help identify nascent areas early and inform research strategy, yet how the intellectual base of a field restructures as an area takes s…
Graph Neural Network leveraging Higher-order Class Label Connectivity for Heterophilous Graphs
Takuto Takahashi, Itsuki Nakayama, Takahiro Mitani +3
Node classification in graph neural networks (GNNs) has been widely applied in various fields of graph analysis. GNNs achieve high-accuracy node classification in homophilous graph…
Systemic Gendered Citation Imbalance in Computer Science: Evidence from Conferences and Journals
Kazuki Nakajima, Yuya Sasaki, Sohei Tokuno +1
Gender imbalance persists across science, technology, engineering, and mathematics (STEM) fields, including computer science, where it appears in researcher demographics, productiv…
Learning Multi-Order Block Structure in Higher-Order Networks
Kazuki Nakajima, Yuya Sasaki, Takeaki Uno +1
Higher-order networks, naturally described as hypergraphs, are essential for modeling real-world systems involving interactions among three or more entities. Stochastic block model…
Algorithmic Fairness: Not a Purely Technical but Socio-Technical Property
Yijun Bian, Lei You, Yuya Sasaki +2
The rapid trend of deploying artificial intelligence (AI) and machine learning (ML) systems in socially consequential domains has raised growing concerns about their trustworthines…
Mining Path Association Rules in Large Property Graphs (with Appendix)
Yuya Sasaki, Panagiotis Karras
How can we mine frequent path regularities from a graph with edge labels and vertex attributes? The task of association rule mining successfully discovers regular patterns in item…
Quantifying gendered citation imbalance in computer science conferences
Kazuki Nakajima, Yuya Sasaki, Sohei Tokuno +1
The number of citations received by papers often exhibits imbalances in terms of author attributes such as country of affiliation and gender. While recent studies have quantified c…
Public Perceptions of Fairness Metrics Across Borders
Yuya Sasaki, Sohei Tokuno, Haruka Maeda +6
Which fairness metrics are appropriately applicable in your contexts? There may be instances of discordance regarding the perception of fairness, even when the outcomes comply with…