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Stochastic Gradient Descent-based Inference for Dynamic Network Models with Attractors.

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Title: Stochastic Gradient Descent-based Inference for Dynamic Network Models with Attractors.
Authors: Pan, Hancong1, Zhu, Xiaojing1, Caliskan, Cantay2, Christenson, Dino P.3, Spiliopoulos, Konstantinos1, Walker, Dylan4, Kolaczyk, Eric D.5, eric.kolaczyk@mcgill.ca
Source: Journal of Computational & Graphical Statistics; Oct-Dec2025, Vol. 34 Issue 4, p1366-1375, 10p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 190909459
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Stochastic Gradient Descent-based Inference for Dynamic Network Models with Attractors.
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RecordInfo BibRecord:
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        Value: 10.1080/10618600.2024.2447478
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      – Code: eng
        Text: English
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      – TitleFull: Stochastic Gradient Descent-based Inference for Dynamic Network Models with Attractors.
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            NameFull: Pan, Hancong
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              Text: Oct-Dec2025
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              Y: 2025
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