Kazufumi Inafuku, Takayasu Fushimi, Tetsuji Satoh. Predicting stimulation index of information transmissions by local structural features in social networks. Social Network Analysis and Mining. 2022. 12. 1. 40-40
Soshi Naito, Takayasu Fushimi. Improving accuracy of expected frequency of uncertain roles based on efficient ensembling. Applied Network Science. 2022. 7. 1. 55-55
Kazumi Saito, Takayasu Fushimi, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda. Efficient computation of target-oriented link criticalness centrality in uncertain graphs. Intelligent Data Analysis. 2021. 25. 5. 1323-1343
Soshi Naito, Takayasu Fushimi. Motif-Role Extraction in Uncertain Graph Based on Efficient Ensembles. COMPLEX NETWORKS. 2021. 501-513
Takayasu Fushimi, Kazumi Saito, Hiroshi Motoda. Efficient analytical computation of expected frequency of motifs of small size by marginalization in uncertain network. ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining(ASONAM). 2021. 1-8
ITO Shuta, FUSHIMI Takayasu. Extraction of Important Structural Changes by Embedding of Dynamic Hypergraphs. JSAI Technical Report, SIG-KBS. 2022. 125. 10