{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T15:31:45Z","timestamp":1759937505082,"version":"3.37.3"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,10,9]],"date-time":"2022-10-09T00:00:00Z","timestamp":1665273600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,9]],"date-time":"2022-10-09T00:00:00Z","timestamp":1665273600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100003711","name":"Ministry of Science and Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003711","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,10,9]]},"DOI":"10.1109\/smc53654.2022.9945420","type":"proceedings-article","created":{"date-parts":[[2022,11,18]],"date-time":"2022-11-18T20:49:04Z","timestamp":1668804544000},"page":"1115-1120","source":"Crossref","is-referenced-by-count":4,"title":["The Neural-Prediction based Acceleration Algorithm of Column Generation for Graph-Based Set Covering Problems"],"prefix":"10.1109","author":[{"given":"Haofeng","family":"Yuan","sequence":"first","affiliation":[{"name":"Tsinghua University,Department of Automation and BNRist,Beijing,China,100084"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Jiang","sequence":"additional","affiliation":[{"name":"Tsinghua University,Department of Automation and BNRist,Beijing,China,100084"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shiji","family":"Song","sequence":"additional","affiliation":[{"name":"Tsinghua University,Department of Automation and BNRist,Beijing,China,100084"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"journal-title":"arXiv preprint arXiv 2110 07058","year":"2021","author":"hudson","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/math8020298"},{"key":"ref12","article-title":"Learning combinatorial optimization algorithms over graphs","volume":"30","author":"khalil","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref13","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"International Conference on Machine Learning"},{"journal-title":"arXiv preprint arXiv 1906 08424","year":"2019","author":"joshi","key":"ref14"},{"journal-title":"arXiv preprint arXiv 2003 00678","year":"2020","author":"dwivedi","key":"ref15"},{"key":"ref16","first-page":"5453","article-title":"Representation learning on graphs with jumping knowledge networks","author":"xu","year":"2018","journal-title":"International Conference on Machine Learning"},{"key":"ref17","article-title":"Latest benchmarks of optimization software","author":"mittelmann","year":"2017","journal-title":"INFORMS Annual Meeting 2017"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1080\/03155986.1988.11732063"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1287\/opre.46.3.316"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.43.6.841"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2018.05.046"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/S0927-0507(05)80106-9","article-title":"Time constrained routing and scheduling","volume":"8","author":"desrosiers","year":"1995","journal-title":"Handbooks in Operations Research and Management Science"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1287\/opre.47.2.247"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2019.06.016"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1023\/A:1019225027893"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/0-387-25486-2_2"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1287\/opre.1050.0234"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiopen.2021.01.001"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s12599-017-0470-8"}],"event":{"name":"2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","start":{"date-parts":[[2022,10,9]]},"location":"Prague, Czech Republic","end":{"date-parts":[[2022,10,12]]}},"container-title":["2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9945068\/9945069\/09945420.pdf?arnumber=9945420","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,12]],"date-time":"2022-12-12T19:54:24Z","timestamp":1670874864000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9945420\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,9]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/smc53654.2022.9945420","relation":{},"subject":[],"published":{"date-parts":[[2022,10,9]]}}}