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Attention-Driven Deep Generative Modeling of Temporal Networks

Bibliographic Details
Title: Attention-Driven Deep Generative Modeling of Temporal Networks
Authors: Kani, Maryam, Aliakbary, Sadegh, Malek, Hamed
Source: 2026 International Interdisciplinary Conference on Artificial Intelligence: Engineering, Health, Finance and Humanities (IICAI) Artificial Intelligence: Engineering, Health, Finance and Humanities (IICAI), 2026 International Interdisciplinary Conference on. :1-6 May, 2026
Relation: 2026 International Interdisciplinary Conference on Artificial Intelligence: Engineering, Health, Finance and Humanities (IICAI)
Database: IEEE Xplore Digital Library
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DbLabel: IEEE Xplore Digital Library
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PubType: Conference
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  Data: Attention-Driven Deep Generative Modeling of Temporal Networks
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  Data: 2026 International Interdisciplinary Conference on Artificial Intelligence: Engineering, Health, Finance and Humanities (IICAI) Artificial Intelligence: Engineering, Health, Finance and Humanities (IICAI), 2026 International Interdisciplinary Conference on. :1-6 May, 2026
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1109/IICAI70155.2026.11620994
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      Pagination:
        PageCount: 6
        StartPage: 1
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      – TitleFull: Attention-Driven Deep Generative Modeling of Temporal Networks
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      – PersonEntity:
          Name:
            NameFull: Kani, Maryam
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            NameFull: Aliakbary, Sadegh
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            NameFull: Malek, Hamed
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          Dates:
            – D: 31
              M: 05
              Type: published
              Y: 2026
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            – TitleFull: 2026 International Interdisciplinary Conference on Artificial Intelligence: Engineering, Health, Finance and Humanities (IICAI), Artificial Intelligence: Engineering, Health, Finance and Humanities (IICAI), 2026 International Interdisciplinary Conference on
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