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Multi-Task Spatiotemporal Prediction of Gas Extraction-Induced Seismicity Using a Hybrid GAT-LSTM Neural Network.

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Title: Multi-Task Spatiotemporal Prediction of Gas Extraction-Induced Seismicity Using a Hybrid GAT-LSTM Neural Network.
Authors: Zhang, Hanfeng1,2,3, Chen, Shuai2,4, Wen, Fenggang3,5, Xu, Rui1,2,3,4, Luo, Yuhao1,2,3,5, Liu, Fushen1,2,3,6, fushenliu@zju.edu.cn, Wang, Shouguang6,7, Duan, Hongfei1,7
Source: Applied Sciences (2076-3417); Jun2026, Vol. 16 Issue 11, p5568, 24p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194780174
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Multi-Task Spatiotemporal Prediction of Gas Extraction-Induced Seismicity Using a Hybrid GAT-LSTM Neural Network.
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  Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Jun2026, Vol. 16 Issue 11, p5568, 24p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194780174
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        Value: 10.3390/app16115568
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      – Code: eng
        Text: English
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        PageCount: 24
        StartPage: 5568
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      – TitleFull: Multi-Task Spatiotemporal Prediction of Gas Extraction-Induced Seismicity Using a Hybrid GAT-LSTM Neural Network.
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            NameFull: Zhang, Hanfeng
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            NameFull: Chen, Shuai
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            NameFull: Liu, Fushen
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 11
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            – TitleFull: Applied Sciences (2076-3417)
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