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    Using Graph Attention Network for Causal Reasoning of Construction Safety Accidents

    Source: Journal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 011::page 04025167-1
    Author:
    Duan, Pinsheng
    ,
    Fu, Xuehai
    ,
    Guo, Haidong
    ,
    Guo, Ping
    ,
    Zhou, Jianliang
    DOI: 10.1061/JCEMD4.COENG-16609
    Publisher: American Society of Civil Engineers
    Abstract: AbstractHistorical construction accident reports can provide key references for accident cause analysis. Accidents with similar accident processes and case backgrounds are often attributed to similar causal factors. This study proposes a method based on ...
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      Using Graph Attention Network for Causal Reasoning of Construction Safety Accidents

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314722
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    contributor authorDuan, Pinsheng
    contributor authorFu, Xuehai
    contributor authorGuo, Haidong
    contributor authorGuo, Ping
    contributor authorZhou, Jianliang
    date accessioned2026-08-20T21:36:17Z
    date available2026-08-20T21:36:17Z
    date copyright2025/08/25
    date issued2025
    identifier otherJCEMD4.COENG-16609.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314722
    description abstractAbstractHistorical construction accident reports can provide key references for accident cause analysis. Accidents with similar accident processes and case backgrounds are often attributed to similar causal factors. This study proposes a method based on ...
    publisherAmerican Society of Civil Engineers
    titleUsing Graph Attention Network for Causal Reasoning of Construction Safety Accidents
    typeJournal Article
    journal volume151
    journal issue11
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/JCEMD4.COENG-16609
    journal fristpage04025167-1
    journal lastpage04025167-14
    page14
    treeJournal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 011
    contenttypeFulltext
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