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Kanezashi Hiroki  金刺 宏樹

ORCIDConnect your ORCID iD *help
Researcher Number 80889395
Other IDs
Affiliation (Current) 2026: 東京大学, 情報基盤センター, 特任研究員
Affiliation (based on the past Project Information) *help 2022 – 2025: 東京大学, 情報基盤センター, 特任研究員
2021: 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 産総研特別研究員
Review Section/Research Field
Principal Investigator
Basic Section 60090:High performance computing-related
Keywords
Principal Investigator
ハイパフォーマンス・コンピューティング / グラフ処理 / 推薦システム / マルチモーダルモデル / 複合メモリシステム / アルゴリズム / 推薦アルゴリズム / 特徴量抽出アルゴリズム / 基盤モデル / 高性能計算 / 表現学習 / 深層学習 / グラフ構造
  • Research Projects

    (2 results)
  • Research Products

    (11 results)
  •  大規模推薦システムのためのユーザ行動モデリングフレームワークの提案Principal Investigator

    • Principal Investigator
      金刺 宏樹
    • Project Period (FY)
      2025 – 2028
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 60090:High performance computing-related
    • Research Institution
      The University of Tokyo
  •  Performance Optimization of Graph Feature Extraction Algorithms on Large-Capacity Memory SystemsPrincipal Investigator

    • Principal Investigator
      Kanezashi Hiroki
    • Project Period (FY)
      2021 – 2024
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 60090:High performance computing-related
    • Research Institution
      The University of Tokyo
      National Institute of Advanced Industrial Science and Technology

All 2025 2024 2023 2022 2021

All Journal Article Presentation

  • [Journal Article] LLM-Augmented Graph Neural Recommenders: Integrating User Reviews2025

    • Author(s)
      Hiroki Kanezashi, Toyotaro Suzumura, Cade Reid, Md Mostafizur Rahman, Yu Hirate
    • Journal Title

      arXiv preprint

      Volume: 2504.02195 Pages: 1-9

    • Open Access
    • Data Source
      KAKENHI-PROJECT-21K17749
  • [Journal Article] Multimodal Point-of-Interest Recommendation2024

    • Author(s)
      Yuta Kanzawa, Toyotaro Suzumura, Hiroki Kanezashi, Jiawei Yong, Shintaro Fukushima
    • Journal Title

      arXiv preprint

      Volume: 2410.03265 Pages: 1-5

    • Open Access
    • Data Source
      KAKENHI-PROJECT-21K17749
  • [Journal Article] How Expressive are Transformers in Spectral Domain for Graphs?2022

    • Author(s)
      Anson Bastos, Abhishek Nadgeri, Kuldeep Singh, Hiroki Kanezashi, Toyotaro Suzumura, Isaiah Onando Mulang'
    • Journal Title

      Transactions on Machine Learning Research

      Volume: -

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K17749
  • [Journal Article] Ethereum Fraud Detection with Heterogeneous Graph Neural Networks2022

    • Author(s)
      Hiroki Kanezashi, Toyotaro Suzumura, Xin Liu, Takahiro Hirofuchi
    • Journal Title

      arXiv preprint

      Volume: 2203.12363 Pages: 1-8

    • Data Source
      KAKENHI-PROJECT-21K17749
  • [Presentation] GEFM: Graph-Enhanced EEG Foundation Model2025

    • Author(s)
      Limin Wang, Toyotaro Suzumura, Hiroki Kanezashi
    • Organizer
      The 39th Annual AAAI Conference on Artificial Intelligence (AAAI-25), Workshop on Large Language Models and Generative AI for Health (GenAI4Health)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K17749
  • [Presentation] Graph Adapter for Parameter-Efficient Fine-Tuning of EEG Foundation Models2025

    • Author(s)
      Toyotaro Suzumura, Hiroki Kanezashi, Shotaro Akahori
    • Organizer
      The 39th Annual AAAI Conference on Artificial Intelligence (AAAI-25), The 9th International Workshop on Health Intelligence (W3PHIAI-25) at AAAI 2025
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K17749
  • [Presentation] Optimizing Matching Markets with Graph Neural Networks and Reinforcement Learning2024

    • Author(s)
      Satoshi Waki, Toyotaro Suzumura, Hiroki Kanezashi
    • Organizer
      Workshop on Recommendation Ecosystems: Modeling, Optimization and Incentive Design
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K17749
  • [Presentation] 強化学習によるマッチング数を最大化するジョブ推薦システム2023

    • Author(s)
      脇聡志, 鈴村豊太郎, 金刺宏樹, 小林秀
    • Organizer
      第37回人工知能学会全国大会
    • Data Source
      KAKENHI-PROJECT-21K17749
  • [Presentation] Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation2023

    • Author(s)
      Xiaohang Xu, Toyotaro Suzumura, Jiawei Yong, Masatoshi Hanai, Chuang Yang, Hiroki Kanezashi, Renhe Jiang, Shintaro Fukushima
    • Organizer
      SIGSPATIAL '23: Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K17749
  • [Presentation] Ethereum Fraud Detection with Heterogeneous Graph Neural Networks2022

    • Author(s)
      Hiroki Kanezashi, Toyotaro Suzumura, Xin Liu, Takahiro Hirofuchi
    • Organizer
      28TH ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’22), Workshop on Mining and Learning with Graphs
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K17749
  • [Presentation] 大規模グラフニューラルネットワークにおける実行性能とモデル精度のトレードオフに関する評価2021

    • Author(s)
      金刺 宏樹
    • Organizer
      第181回 情報処理学会ハイパフォーマンスコンピューティング (HPC)研究会
    • Data Source
      KAKENHI-PROJECT-21K17749

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