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Kanezashi Hiroki  金刺 宏樹

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金刺 宏樹  カネザシ ヒロキ

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Researcher Number 80889395
Other IDs
Affiliation (Current) 2025: 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 2025: 東京大学, 情報基盤センター, 特任研究員
2022 – 2023: 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
複合メモリシステム / アルゴリズム / ハイパフォーマンス・コンピューティング / 推薦アルゴリズム / 表現学習 / 深層学習 / 特徴量抽出アルゴリズム / グラフ処理 / グラフ構造
  • Research Projects

    (2 results)
  • Research Products

    (7 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
  •  大容量メモリ環境上のグラフ特徴量抽出アルゴリズムの性能最適化Principal Investigator

    • Principal Investigator
      金刺 宏樹
    • 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 2024 2023 2022 2021

All Journal Article Presentation

  • [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] 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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