{"id":"https://openalex.org/W4401857125","doi":"https://doi.org/10.1145/3637528.3672053","title":"Hierarchical Neural Constructive Solver for Real-world TSP Scenarios","display_name":"Hierarchical Neural Constructive Solver for Real-world TSP Scenarios","publication_year":2024,"publication_date":"2024-08-24","ids":{"openalex":"https://openalex.org/W4401857125","doi":"https://doi.org/10.1145/3637528.3672053"},"language":"en","primary_location":{"id":"doi:10.1145/3637528.3672053","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3637528.3672053","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3637528.3672053","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3637528.3672053","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060642710","display_name":"Yong Liang Goh","orcid":"https://orcid.org/0000-0001-6640-8744"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Yong Liang Goh","raw_affiliation_strings":["Grabtaxi Holdings Pte Ltd & National University of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Grabtaxi Holdings Pte Ltd & National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021597928","display_name":"Zhiguang Cao","orcid":"https://orcid.org/0000-0002-4499-759X"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zhiguang Cao","raw_affiliation_strings":["Singapore Management University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Singapore Management University, Singapore, Singapore","institution_ids":["https://openalex.org/I79891267"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081047744","display_name":"Yining Ma","orcid":"https://orcid.org/0000-0002-6639-8547"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yining Ma","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100958699","display_name":"Yanfei Dong","orcid":"https://orcid.org/0000-0002-5473-5788"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yanfei Dong","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083069008","display_name":"Mohammed Haroon Dupty","orcid":"https://orcid.org/0000-0002-6274-7172"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Mohammed Haroon Dupty","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071141105","display_name":"Wee Sun Lee","orcid":"https://orcid.org/0000-0002-0988-2500"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wee Sun Lee","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5060642710"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":1.7087,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85691802,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"884","last_page":"895"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9556000232696533,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7339428067207336},{"id":"https://openalex.org/keywords/constructive","display_name":"Constructive","score":0.5503664016723633},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.5161696076393127},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.44510528445243835},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43897801637649536},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4208248257637024},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.41695523262023926},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4107394516468048},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3499389588832855}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7339428067207336},{"id":"https://openalex.org/C2778701210","wikidata":"https://www.wikidata.org/wiki/Q28130034","display_name":"Constructive","level":3,"score":0.5503664016723633},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.5161696076393127},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.44510528445243835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43897801637649536},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4208248257637024},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.41695523262023926},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4107394516468048},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3499389588832855},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3637528.3672053","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3637528.3672053","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3637528.3672053","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2408.03585","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2408.03585","pdf_url":"https://arxiv.org/pdf/2408.03585","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:ink.library.smu.edu.sg:sis_research-10334","is_oa":true,"landing_page_url":"https://ink.library.smu.edu.sg/sis_research/9334","pdf_url":null,"source":{"id":"https://openalex.org/S4306401925","display_name":"Singapore Management University Institutional Knowledge (InK) (Singapore Management University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79891267","host_organization_name":"Singapore Management University","host_organization_lineage":["https://openalex.org/I79891267"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1145/3637528.3672053","raw_type":"Conference Proceeding Article"}],"best_oa_location":{"id":"doi:10.1145/3637528.3672053","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3637528.3672053","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3637528.3672053","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6790837365","display_name":null,"funder_award_id":"AISG3-RP-2022-031","funder_id":"https://openalex.org/F4320320709","funder_display_name":"National Research Foundation Singapore"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320320698","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49"},{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4401857125.pdf"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1985690171","https://openalex.org/W2011220932","https://openalex.org/W2089500395","https://openalex.org/W2114180160","https://openalex.org/W3097232108","https://openalex.org/W3132134635","https://openalex.org/W3146106549","https://openalex.org/W3177337956","https://openalex.org/W3203997865","https://openalex.org/W3213077827","https://openalex.org/W4281775962","https://openalex.org/W4285483767","https://openalex.org/W4285606784","https://openalex.org/W4323047314","https://openalex.org/W4393160633"],"related_works":["https://openalex.org/W2377770720","https://openalex.org/W94411513","https://openalex.org/W2186864281","https://openalex.org/W4311883357","https://openalex.org/W2113626999","https://openalex.org/W160889949","https://openalex.org/W2197168648","https://openalex.org/W2364696089","https://openalex.org/W4255427455","https://openalex.org/W4300816516"],"abstract_inverted_index":{"Existing":[0],"neural":[1],"constructive":[2],"solvers":[3],"for":[4],"routing":[5],"problems":[6],"have":[7],"predominantly":[8],"employed":[9],"transformer":[10,180],"architectures,":[11],"conceptualizing":[12],"the":[13,55,72,76,89,121,132,138,151,183,186],"route":[14],"construction":[15],"as":[16],"a":[17,109,125,146],"set-to-sequence":[18],"learning":[19,161],"task.":[20],"However,":[21],"their":[22],"efficacy":[23,184],"has":[24],"primarily":[25],"been":[26],"demonstrated":[27],"on":[28,83,120],"entirely":[29],"random":[30],"problem":[31],"instances":[32],"that":[33],"inadequately":[34],"capture":[35],"real-world":[36],"scenarios.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41,106],"introduce":[42],"realistic":[43,152],"Traveling":[44],"Salesman":[45],"Problem":[46],"(TSP)":[47],"scenarios":[48],"relevant":[49],"to":[50,65,71,116,135,175],"industrial":[51],"settings":[52],"and":[53,97,124,160,178],"derive":[54],"following":[56],"insights:":[57],"(1)":[58],"The":[59],"optimal":[60],"next":[61],"node":[62,166],"(or":[63],"city)":[64],"visit":[66],"often":[67],"lies":[68],"within":[69],"proximity":[70],"current":[73,84,122],"node,":[74],"suggesting":[75],"potential":[77],"benefits":[78],"of":[79,94,165,185],"biasing":[80],"choices":[81,118],"based":[82,119],"locations.":[85],"(2)":[86],"Effectively":[87],"solving":[88,150],"TSP":[90,153],"requires":[91],"robust":[92],"tracking":[93],"unvisited":[95,139],"nodes":[96],"warrants":[98],"succinct":[99],"grouping":[100,137],"strategies.":[101],"Building":[102],"upon":[103],"these":[104,142],"insights,":[105],"propose":[107],"integrating":[108],"learnable":[110,126],"choice":[111],"layer":[112],"inspired":[113,130],"by":[114,131,154],"Hypernetworks":[115],"prioritize":[117],"location,":[123],"approximate":[127],"clustering":[128],"algorithm":[129,134],"Expectation-Maximization":[133],"facilitate":[136],"cities.":[140],"Together,":[141],"two":[143],"contributions":[144],"form":[145],"hierarchical":[147,169],"approach":[148,170],"towards":[149],"considering":[155],"both":[156,176],"immediate":[157],"local":[158],"neighbourhoods":[159],"an":[162],"intermediate":[163],"set":[164],"representations.":[167],"Our":[168],"yields":[171],"superior":[172],"performance":[173],"compared":[174],"classical":[177],"recent":[179],"models,":[181],"showcasing":[182],"key":[187],"designs.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}