International Conference

Kazuhisa Natori and Tsuyoshi Yamashita gave presentations at the 9th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems and Network Data Analytics (GRADES-NDA).

• Kazuhisa Natori, Tsuyoshi Yamashita, and Kunitake Kaneko, ‘PerPreX: Fast Personalized Graph Summarization by Pre-executed Multi-Level Graph Division’, in Proceedings of the 9th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems and Network Data Analytics (GRADES-NDA), Sep. 2026, doi: 10.1145/3810460.3812777.
• Hiroki Fukuzawa, Tsuyoshi Yamashita, and Kunitake Kaneko, ‘Fast and Accurate Random Walk Index Maintenance for Graph Merging’, in Proceedings of the 9th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems and Network Data Analytics (GRADES-NDA), Sep. 2026, doi: 10.1145/3810460.3812775.

Tsuyoshi Yamashita and Kazuhisa Natori gave a presentation at the INFOCOM 2026 demo session.

• Tsuyoshi Yamashita, Kazuhisa Natori and Kunitake Kaneko, “Decoupling information exploration and explanation for personalized recommendation with LLMs,” IEEE Conference on Computer Communications, 2026, pp. 2393-2394, doi: 10.1109/INFOCOM59046.2026.11571497.

Tsuyoshi Yamashita gave a presentation at the International Workshop on Mining and Analyzing Social Networks for Decision Support (MSNDS).

• Tsuyoshi Yamashita and Kunitake Kaneko, “Flexible Adjustment of Feature Vector Correlations for Personalized Recommendations”, The International Workshop on Mining and Analyzing Social Networks for Decision Support (MSNDS), Aug 2025.

Tsuyoshi Yamashita gave a presentation at the 16th International Conference on Ubiquitous and Future Networks (ICUFN).

• Kishin Okamatsu, Tsuyoshi Yamashita, and Kunitake Kaneko, “WalkSum: Graph Summarization for Accurate Random Walks”, The 16th International Conference on Ubiquitous and Future Networks (ICUFN), Jul 2025.

Tsuyoshi Yamashita gave a presentation at the International Symposium on Intelligent Data Analysis (IDA).

• Tsuyoshi Yamashita and Kunitake Kaneko, “Balancing Global Importance and Source Proximity for Personalized Recommendations Using Random Walk Length”, Advances in Intelligent Data Analysis XXIII (IDA), Lecture Notes in Computer Science, vol 15669, pp.141–153, May 2025, doi: 10.1007/978-3-031-91398-3_11.