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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Main Authors: | , , , , |
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Format: | text |
Language: | English |
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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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