Learning topological representations with bidirectional graph attention network for solving job shop scheduling problem

Existing learning-based methods for solving job shop scheduling problems (JSSP) usually use off-the-shelf GNN models tailored to undirected graphs and neglect the rich and meaningful topological structures of disjunctive graphs (DGs). This paper proposes the topology-aware bidirectional graph attent...

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Bibliographic Details
Main Authors: ZHANG, Cong, CAO, Zhiguang, WU, Yaoxin, SONG, Wen, SUN, Jing
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
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Online Access:https://ink.library.smu.edu.sg/sis_research/9331
https://ink.library.smu.edu.sg/context/sis_research/article/10331/viewcontent/3_Learning_Topological_Represe.pdf
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Institution: Singapore Management University
Language: English

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