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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…
cs.SI2024
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…