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Graduate School of Informatics, Kyoto University

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A paper accepted for SIGKDD 2021

05/18, 2021未分類

Our paper on modeling spatio-temporal diffusion events and its application to event prediction was accepted for SIGKDD 2021.

Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima.
Dynamic Hawkes Processes for Discovering Time-evolving Communities’ States behind Diffusion Processes.
In Proceedings of the 27st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021.

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← Three papers accepted for ICML 2021 A Paper Accepted for IEEE ITSC 2021 →

Location

#201, #301, #304 (Kashima), #204 (Takeuchi), #306 (Administrative staff)
Research Bldg. No.7
Kyoto University
Yoshida-honmachi, Sakyo-ku, Kyoto
606-8501

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News

  • A Paper Accepted for COLT 05/10, 2024
  • A Paper Accepted for ICML 05/10, 2024
  • A Paper Accepted for WWW (short) 03/05, 2024
  • A Paper Accepted for LREC-COLING 2024 02/20, 2024
  • 2 Papers Accepted for PAKDD 2024 02/01, 2024
  • A Paper Accepted for ACML 2023 09/11, 2023
  • A Paper Accepted for ECML PKDD 2023 06/09, 2023
  • Two Papers Accepted for KDD 2023 05/17, 2023
  • A Paper Accepted for COLT 2023 05/15, 2023
  • A Paper Accepted for ACL 2023 05/15, 2023

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