3 papers
cs.SI2025
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…
math.OC2025
Sample-Cluster-Select: A new framework to obtain diverse approximate solutions of combinatorial optimization problems
Susumu Hashimoto, Takeaki Uno
When solving real-world problems, practitioners often hesitate to implement solutions obtained from mathematical models, especially for important decisions. This hesitation stems f…
cs.SI2025
Inference and Visualization of Community Structure in Attributed Hypergraphs Using Mixed-Membership Stochastic Block Models
Kazuki Nakajima, Takeaki Uno
Hypergraphs represent complex systems involving interactions among more than two entities and allow the investigation of higher-order structure and dynamics in complex systems. Nod…