Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization
By examining the patterns of solutions obtained for various instances, one can gain insights into the structure and behavior of combinatorial optimization (CO) problems and develop efficient algorithms for solving them. Machine learning techniques, especially Graph Neural Networks (GNNs), have shown...
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| Published in: | The Journal of artificial intelligence research Vol. 80; pp. 327 - 376 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
01.01.2024
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| ISSN: | 1076-9757, 1076-9757 |
| Online Access: | Get full text |
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