{"id":"https://openalex.org/W4285396506","doi":"https://doi.org/10.1145/3490486.3538290","title":"General Graphs are Easier than Bipartite Graphs: Tight Bounds for Secretary Matching","display_name":"General Graphs are Easier than Bipartite Graphs: Tight Bounds for Secretary Matching","publication_year":2022,"publication_date":"2022-07-12","ids":{"openalex":"https://openalex.org/W4285396506","doi":"https://doi.org/10.1145/3490486.3538290"},"language":"en","primary_location":{"id":"doi:10.1145/3490486.3538290","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3490486.3538290","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3490486.3538290","source":{"id":"https://openalex.org/S4363608973","display_name":"Proceedings of the 23rd ACM Conference on Economics and Computation","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM Conference on Economics and Computation","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3490486.3538290","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071692394","display_name":"Tomer Ezra","orcid":"https://orcid.org/0000-0003-0626-4851"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Tomer Ezra","raw_affiliation_strings":["Sapienza University of Rome, Rome, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sapienza University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103282352","display_name":"Michal Feldman","orcid":"https://orcid.org/0000-0002-2915-8405"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]},{"id":"https://openalex.org/I4210125051","display_name":"Microsoft (Israel)","ror":"https://ror.org/03819cc96","country_code":"IL","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210125051"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Michal Feldman","raw_affiliation_strings":["Tel Aviv University &amp; Microsoft Research, Tel Aviv, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tel Aviv University &amp; Microsoft Research, Tel Aviv, Israel","institution_ids":["https://openalex.org/I16391192","https://openalex.org/I4210125051"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010685949","display_name":"Nick Gravin","orcid":"https://orcid.org/0000-0002-3845-947X"},"institutions":[{"id":"https://openalex.org/I181679659","display_name":"Shanghai University of Finance and Economics","ror":"https://ror.org/00wtvfq62","country_code":"CN","type":"education","lineage":["https://openalex.org/I181679659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nick Gravin","raw_affiliation_strings":["Shanghai University of Finance and Economics, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University of Finance and Economics, Shanghai, China","institution_ids":["https://openalex.org/I181679659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032128738","display_name":"Zhihao Gavin Tang","orcid":"https://orcid.org/0000-0002-5094-1971"},"institutions":[{"id":"https://openalex.org/I181679659","display_name":"Shanghai University of Finance and Economics","ror":"https://ror.org/00wtvfq62","country_code":"CN","type":"education","lineage":["https://openalex.org/I181679659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihao Gavin Tang","raw_affiliation_strings":["Shanghai University of Finance and Economics, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University of Finance and Economics, Shanghai, China","institution_ids":["https://openalex.org/I181679659"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9654,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.92560677,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1148","last_page":"1177"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11478","display_name":"Caching and Content Delivery","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10772","display_name":"Distributed systems and fault tolerance","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/bipartite-graph","display_name":"Bipartite graph","score":0.9200364351272583},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.7441610097885132},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.654948353767395},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.5827755928039551},{"id":"https://openalex.org/keywords/3-dimensional-matching","display_name":"3-dimensional matching","score":0.5310554504394531},{"id":"https://openalex.org/keywords/cograph","display_name":"Cograph","score":0.5190413594245911},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5170893669128418},{"id":"https://openalex.org/keywords/complete-bipartite-graph","display_name":"Complete bipartite graph","score":0.5103153586387634},{"id":"https://openalex.org/keywords/maximal-independent-set","display_name":"Maximal independent set","score":0.48939505219459534},{"id":"https://openalex.org/keywords/indifference-graph","display_name":"Indifference graph","score":0.46608394384384155},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.455584853887558},{"id":"https://openalex.org/keywords/1-planar-graph","display_name":"1-planar graph","score":0.43063434958457947},{"id":"https://openalex.org/keywords/pathwidth","display_name":"Pathwidth","score":0.41692763566970825},{"id":"https://openalex.org/keywords/chordal-graph","display_name":"Chordal graph","score":0.38325509428977966},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36145567893981934},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.3522202968597412},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.3154582977294922},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.17973053455352783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1731099784374237},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06999963521957397}],"concepts":[{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.9200364351272583},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7441610097885132},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.654948353767395},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.5827755928039551},{"id":"https://openalex.org/C72545166","wikidata":"https://www.wikidata.org/wiki/Q10866593","display_name":"3-dimensional matching","level":4,"score":0.5310554504394531},{"id":"https://openalex.org/C59824394","wikidata":"https://www.wikidata.org/wiki/Q5141281","display_name":"Cograph","level":5,"score":0.5190413594245911},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5170893669128418},{"id":"https://openalex.org/C134119311","wikidata":"https://www.wikidata.org/wiki/Q913598","display_name":"Complete bipartite graph","level":4,"score":0.5103153586387634},{"id":"https://openalex.org/C18359143","wikidata":"https://www.wikidata.org/wiki/Q7888149","display_name":"Maximal independent set","level":5,"score":0.48939505219459534},{"id":"https://openalex.org/C74133993","wikidata":"https://www.wikidata.org/wiki/Q3115472","display_name":"Indifference graph","level":3,"score":0.46608394384384155},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.455584853887558},{"id":"https://openalex.org/C102192266","wikidata":"https://www.wikidata.org/wiki/Q4545823","display_name":"1-planar graph","level":4,"score":0.43063434958457947},{"id":"https://openalex.org/C43517604","wikidata":"https://www.wikidata.org/wiki/Q7144893","display_name":"Pathwidth","level":4,"score":0.41692763566970825},{"id":"https://openalex.org/C160446614","wikidata":"https://www.wikidata.org/wiki/Q1322892","display_name":"Chordal graph","level":3,"score":0.38325509428977966},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36145567893981934},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.3522202968597412},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3154582977294922},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.17973053455352783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1731099784374237},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06999963521957397}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3490486.3538290","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3490486.3538290","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3490486.3538290","source":{"id":"https://openalex.org/S4363608973","display_name":"Proceedings of the 23rd ACM Conference on Economics and Computation","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM Conference on Economics and Computation","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.uniroma1.it:11573/1685150","is_oa":true,"landing_page_url":"https://hdl.handle.net/11573/1685150","pdf_url":"https://iris.uniroma1.it/bitstream/11573/1685150/1/Ezra_General_2022.pdf","source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.1145/3490486.3538290","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3490486.3538290","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3490486.3538290","source":{"id":"https://openalex.org/S4363608973","display_name":"Proceedings of the 23rd ACM Conference on Economics and Computation","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM Conference on Economics and Computation","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1109244088","display_name":null,"funder_award_id":"788893","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G1231314871","display_name":null,"funder_award_id":"317/17","funder_id":"https://openalex.org/F4320322252","funder_display_name":"Israel Science Foundation"},{"id":"https://openalex.org/G3342566315","display_name":null,"funder_award_id":"788893","funder_id":"https://openalex.org/F4320321873","funder_display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca"},{"id":"https://openalex.org/G434337789","display_name":null,"funder_award_id":"HORIZON2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5415693833","display_name":null,"funder_award_id":"62150610500","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5617485043","display_name":null,"funder_award_id":"866132, 788893","funder_id":"https://openalex.org/F4320334678","funder_display_name":"European Research Council"},{"id":"https://openalex.org/G6649057088","display_name":null,"funder_award_id":"61902233","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321873","display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca","ror":"https://ror.org/0166hxq48"},{"id":"https://openalex.org/F4320321881","display_name":"Shanghai Municipal Education Commission","ror":"https://ror.org/05tewj457"},{"id":"https://openalex.org/F4320322252","display_name":"Israel Science Foundation","ror":"https://ror.org/04sazxf24"},{"id":"https://openalex.org/F4320324781","display_name":"Shanghai University of Finance and Economics","ror":"https://ror.org/00wtvfq62"},{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285396506.pdf","grobid_xml":"https://content.openalex.org/works/W4285396506.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W122460662","https://openalex.org/W1586029166","https://openalex.org/W1981530653","https://openalex.org/W1999069228","https://openalex.org/W2018476046","https://openalex.org/W2061418963","https://openalex.org/W2079669094","https://openalex.org/W2080956807","https://openalex.org/W2085480884","https://openalex.org/W2104224720","https://openalex.org/W2109969113","https://openalex.org/W2131951207","https://openalex.org/W2329590824","https://openalex.org/W2782298540","https://openalex.org/W2808107677","https://openalex.org/W2911905616","https://openalex.org/W2947806810","https://openalex.org/W2949691426","https://openalex.org/W2952720641","https://openalex.org/W3029111739","https://openalex.org/W3037861378","https://openalex.org/W3042116839","https://openalex.org/W3135821699","https://openalex.org/W4210631930","https://openalex.org/W4247154108","https://openalex.org/W4287782738","https://openalex.org/W4288366461","https://openalex.org/W4299949552","https://openalex.org/W4302089816","https://openalex.org/W4302579612"],"related_works":["https://openalex.org/W4226049246","https://openalex.org/W3175659217","https://openalex.org/W3130332934","https://openalex.org/W2083238533","https://openalex.org/W4293578199","https://openalex.org/W1919313975","https://openalex.org/W2898526288","https://openalex.org/W2061237693","https://openalex.org/W2952609612","https://openalex.org/W3123003473"],"abstract_inverted_index":{"Online":[0],"algorithms":[1],"for":[2,27],"secretary":[3,21],"matching":[4,22],"in":[5,13,23],"bipartite":[6],"weighted":[7,25],"graphs":[8],"have":[9],"been":[10],"studied":[11],"extensively":[12],"recent":[14],"years.":[15],"We":[16],"generalize":[17],"this":[18],"study":[19],"to":[20],"general":[24],"graphs,":[26],"both":[28],"vertex":[29],"and":[30],"edge":[31],"arrival":[32],"models.":[33]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2022-07-14T00:00:00"}
