{“id”:“https://openalex.org/W3034659318“,”doi“:”https://doi.org/10.109/cvpr42600.2020.00759“,”title“:”Learning Combinatorial Solver for Graph Matching“,”display_name“:”学习图形匹配组合解算器“,”publication_year“:2020,”publitation_date“:”2020-06-01“,”ids“:{”openalex“:”https://openalex.org/W3034659318“,”doi“:”https://doi.org/10.109/cvpr42600.2020.00759“,”mag“:”3034659318“},”language“:”en“,”primary_location“:{”is_oa“:false,”landing_page_url“:”https://doi.org/10.109/cvpr42600.2020.00759“,”pdf_url“:null,”source“:null,”license“:null',”licence_id“:null,”version“:nuller,”is_accepted“:false,”is_published“:false},”type“:”article“,”type_crossref“:“procesdings-article”,”indexed_in“:[”crossref“],”open_access“:{”is_oa“:false,”oa_status“:”closed“,”oa_url”:null“,”any_repository_has_fulltext“:false}”,”authorships“:[{”author_position“:”first“,”作者“:{”id“:”https://openalex.org/A5034182415“,”display_name“:”Tao Wang“,”orcid“:”https://orcid.org/0000-0003-4300-2607},“机构”:[{“id”:https://openalex.org/I21193070“,”display_name“:”北京交通大学“,”ror“:”https://ror.org/01yj56c84“,”country_code“:”CN“,”type“:“教育”,”世系“:[”https://openalex.org/I21193070“]},{”id“:”https://openalex.org/I4210089783“,”display_name“:”上海医学信息中心“,”ror“:”网址:https://ror.org/007wz9933“,”country_code“:“CN”,”type“:”other“,”seriance“:[”https://openalex.org/I4210089783“]}],”国家“:[”CN“],”is_corresponding“:false,”raw_author_name“:”Tao Wang“,”raw affiliation_strings“:[“HiScene Information Technologies,Shanghai,China”,“北京交通大学北京交通数据分析与挖掘重点实验室,中国北京”],”affiliation“:[{”raw_affiliation_string“:”北京交通大学北京交通数据分析与挖掘重点实验室,中国北京”,“institution_ids”:[“https://openalex.org/I21193070“]},{”raw_affiliation_string“:”HiScene Information Technologies,中国上海“,”institution_ids“:[”https://openalex.org/I4210089783“]}]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5075547260“,”display_name“:”He Liu“,”orcid“:”https://orcid.org/0000-0002-5685-3809},“机构”:[{“id”:https://openalex.org/I21193070“,”display_name“:”北京交通大学“,”ror“:”https://ror.org/01yj56c84“,”country_code“:”CN“,”type“:“教育”,”世系“:[”https://openalex.org/I21193070“]}],”国家“:[”CN“],”is_corresponding“:false,”raw_author_name“:”He Liu“,”rau_affiliation_strings“:[“北京交通大学交通数据分析与挖掘北京重点实验室,中国北京”],”affiliations“:”北京交通大学北京交通数据分析与挖掘重点实验室,中国北京”,“institution_ids”:[“https://openalex.org/I21193070“]}]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5010019122“,”display_name“:”李一东“,”orcid“:”https://orcid.org/0000-0003-2965-6196},“机构”:[{“id”:https://openalex.org/I21193070“,”display_name“:”北京交通大学“,”ror“:”https://ror.org/01yj56c84“,”country_code“:”CN“,”type“:“教育”,”世系“:[”https://openalex.org/I21193070“]}],”国家“:[”CN“],”is_corresponding“:false,”raw_author_name“:”李一东“,”raw _ afiliation_strings“:[“北京交通大学交通数据分析与挖掘北京重点实验室,中国北京”],”affiliations“:[{”raw _affiliation_strong“:”北京交通大学北京交通数据分析与挖掘重点实验室,中国北京”,“institution_ids”:[“https://openalex.org/I21193070“]}]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5033896100“,”display_name“:”Yi Jin“,”orcid“:”https://orcid.org/0000-0001-8408-3816},“机构”:[{“id”:https://openalex.org/I21193070“,”display_name“:”北京交通大学“,”ror“:”https://ror.org/01yj56c84“,”country_code“:”CN“,”type“:“教育”,”世系“:[”https://openalex.org/I21193070“]],”国家“:[”CN“],”is_corresponding“:false,”raw_author_name“:”Yi Jin“,”raw_affiation_string“:[”北京交通大学交通数据分析与挖掘北京重点实验室,中国北京“],”附属“:[{”raw_affiation_string“:”北京交通大学北京交通数据分析与挖掘重点实验室,中国北京”,“institution_ids”:[“https://openalex.org/I21193070“]}]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5036673165“,”display_name“:”侯晓辉“,”兽人“:”https://orcid.org/0000-0002-8219-996X},“机构”:[{“id”:https://openalex.org/I4210089783“,”display_name“:”上海医学信息中心“,”ror“:”https://ror.org/007wz9933“,”country_code“:“CN”,”type“:”other“,”seriance“:[”https://openalex.org/I4210089783“]}],”国家“:[”CN“],”is_corresponding“:false,”raw_author_name“:”Hou Xiaohui“,”raw _ afiliation_strings“:[“HiScene Information Technologies,Shanghai,China”],“affiliations”:[{“raw_affiliation_string”:“HiScree Information Technologies,Shinghai”,“institution_ids”:[“https://openalex.org/I4210089783“]}]},{”author_position“:”last“,”author“:{”id“:”https://openalex.org/A5061469520“,”display_name“:”Haibin Ling“,”orcid“:”https://orcid.org/0000-0003-4094-8413},“机构”:[{“id”:https://openalex.org/I59553526“,”display_name“:”石溪大学“,”ror“:”https://ror.org/05qghxh33“,”country_code“:”US“,”type“:“教育”,”世系“:[”https://openalex.org/I59553526“]}],”countries“:[”US“],”is_corresponding“:false,”raw_author_name“:”Haibin Ling“,”raw _ afiliation_strings“:【”Stony Brook University,Stony Broak,USA“】,”affiliations“:[{”raw_ afiliation _string“:”Stony布鲁克Universition,Stony布鲁克斯“,USA”,“institution_ids”:[“https://openalex.org/I59553526“]}]}],”countries_distinct_count“:2,”institutions_disting_count”:3,”corresponding_author_ids“:[],”corresponding_institution_ids”:[]、“apc_list”:null,”apc_payed“:null、”fwci“:2.258,”has_fulltext“:false,”cited_by_count:30,“cited_by_percentile_year”:{“min”:96,”max“:97},”biblio“:{”volume“:nul,”issue“:null,“first_page”:空,“last_page”:空},“is_retracted“:false,”is_paratext“:fase,”primary_topic“:{”id“:”https://openalex.org/T12292“,”display_name“:”图形匹配与分析技术“,”score“:0.9999,”subfield“:{”id“:”https://openalex.org/subfields/1707“,”display_name“:”计算机视觉和模式识别“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},”主题“:[{”id“:”https://openalex.org/T12292“,”display_name“:”图形匹配与分析技术“,”score“:0.9999,”subfield“:{”id“:”https://openalex.org/subfields/1707“,”display_name“:”计算机视觉和模式识别“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T11273“,”display_name“:”Graph Neural Network Models and Applications“,”score“:0.998,”subfield“:{”id“:”https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T11106“,”display_name“:”轨迹数据挖掘与分析“,”score“:0.9954,”subfield“:{”id“:”https://openalex.org/subfields/1711“,”display_name“:”信号处理“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}}],”关键词“:[{”id“:”https://openalex.org/keywords/graph-matching“,”display_name“:”图形匹配“,”score“:0.641971},{”id“:”https://openalex.org/keywords/signal-processing-on-graphs网站“,”display_name“:”图形信号处理“,”score“:0.599154},{”id“:”https://openalex.org/keywords/graph-processing“,”display_name“:”图形处理“,”score“:0.559199},{”id“:”https://openalex.org/keywords/knowledge-graph-embedding“,”display_name“:”知识图嵌入“,”score“:0.548967},{”id“:”https://openalex.org/keywords/network-embedding“,”display_name“:”网络嵌入“,”score“:0.53593}],”concepts“:[{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198“,”display_name“:”计算机科学“,”level“:0,”score“:0.73182416},{”id“:”https://openalex.org/C80444323,“wikidata”:https://www.wikidata.org/wiki/Q2878974“,”display_name“:”理论计算机科学“,”level“:1,”score“:0.61720395},{”id“:”https://openalex.org/C2778770139,“wikidata”:https://www.wikidata.org/wiki/Q1966904“,”display_name“:”Solver“,”level“:2,”score“:0.57826257},{”id“:”https://openalex.org/C132525143,“wikidata”:https://www.wikidata.org/wiki/Q141488“,”display_name“:”Graph“,”level“:2,”score“:0.5312431},{”id“:”https://openalex.org/C165064840,“wikidata”:https://www.wikidata.org/wiki/Q1321061“,”display_name“:”Matching(statistics)“,”level“:2,”score“:0.5181995},{”id“:”https://openalex.org/C62611344,“wikidata”:https://www.wikidata.org/wiki/Q1062658“,”display_name“:”节点(物理)“,”级别“:2,”分数“:0.44705385},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.42221892},{”id“:”https://openalex.org/C2779172887,“wikidata”:https://www.wikidata.org/wiki/Q184316“,”display_name“:”PageRank“,”level“:2,”score“:0.41925573},{”id“:”https://openalex.org/C108583219,“wikidata”:https://www.wikidata.org/wiki/Q197536“,”display_name“:”深度学习“,”level“:2,”score“:0.41796386},{”id“:”https://openalex.org/C33923547,“wikidata”:https://www.wikidata.org/wiki/Q395“,”display_name“:”数学“,”等级“:0,”分数“:0.15355772},{”id“:”https://openalex.org/C105795698,“wikidata”:https://www.wikidata.org/wiki/Q12483“,”display_name“:”Statistics“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C66938386,“wikidata”:https://www.wikidata.org/wiki/Q633538“,”display_name“:”结构工程“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C199360897,“wikidata”:https://www.wikidata.org/wiki/Q9143“,”display_name“:”编程语言“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C127413603,“wikidata”:https://www.wikidata.org/wiki/Q11023“,”display_name“:”Engineering“,”level“:0,”score“:0.0}],”mesh“:[],”locations_count“:1,”location“:[{”is_oa“:false,”landing_page_url“:”https://doi.org/10.109/cvpr42600.2020.00759“,”pdf_url“:null,”source“:null,”license“:null:”license_id“:null,”version“:number,”is_accepted“:false,”is_published“:false}],”best_oa_location“:nul,”sustainable_development_goals“:[],”grants“:[],”datasets“:【】,”versions“:【],”referenced_works_count“:38,”referrenced_works“:〔”https://openalex.org/W1587878450","https://openalex.org/W1744214816","https://openalex.org/W1901379498","https://openalex.org/W1998834305网址","https://openalex.org/W2023942871","https://openalex.org/W2074972585","https://openalex.org/W2076080556","https://openalex.org/W2095446616","https://openalex.org/W2099897767","https://openalex.org/W2102895109","https://openalex.org/W2104366350","https://openalex.org/W2107855892","https://openalex.org/W2123236823","https://openalex.org/W2126448214","https://openalex.org/W2138910149","https://openalex.org/W2142726150","https://openalex.org/W2149616971","https://openalex.org/W2150760714","https://openalex.org/W2151103935","https://openalex.org/W2152953631","https://openalex.org/W2158256890","https://openalex.org/W2159537329","https://openalex.org/W2166524953","https://openalex.org/W2166820607","https://openalex.org/W2211710464","https://openalex.org/W2535410496","https://openalex.org/W2626225338","https://openalex.org/W2765375060","https://openalex.org/W2799132636","https://openalex.org/W2805516822","https://openalex.org/W2950898568","https://openalex.org/W2964015378","https://openalex.org/W2964321699","https://openalex.org/W2967363906","https://openalex.org/W2983178467","https://openalex.org/W2983792938","https://openalex.org/W3010318089","https://openalex.org/W4297733535“],”related_works“:[”https://openalex.org/W2980866815","https://openalex.org/W2310552679","https://openalex.org/W2125493559","https://openalex.org/W2106626222","https://openalex.org/W2088946561","https://openalex.org/W2049983311","https://openalex.org/W2002053721","https://openalex.org/W2001641889","https://openalex.org/W1562405179","https://openalex.org/W1544909909“],”ngrams_url“:”https://api.openalex.org/works/W3034659318/ngrams网站“,”“abstract_inverted_index”:{“Learning-based”:[0],“approachs”:[1],“to”:[210112127],“graph”:[3,67115126],“matching”:[4163],“have”:[5,15],“been”:[6],“developed”:[7],“and”:[8,20,46,74148160180],“explored”:[9],“for”:[10,66,76131139145],“more”:[11],“than”:[12],“a”:[13,6210139145]9137],“十年”:[14],“成长”:[16],“迅速”:[17],“在“:[18,22,69,84174],”范围“:[19],”受欢迎程度“:[21],”最近“:[23],”年份。“:[24],”“然而,”:[25],“先前”:[26,86],“基于学习”:[27],“算法”:[28179],“有”:[29176],“或”:[30],“无”:[31],“深度”:[32],“学习”:[33,39,52,71],“策略”:[34],“主要”:[35],“焦点”:[36],“关于”:[37,50124170],“the”:[38,51,54,91102114125149154161181],“的”:[40,53,72,93104156],“节点”:[41,95141146],“和/或”:[42],“edge“:[43],”affinities“:[44,73],”generation“,”:[45],”pay“:[47],”less“:[48],”attention“:[49],”combinatial“:[55,77],”solver。“:[56],”In“:[57],”this“:[58],”paper“:[59],”we“:[60],”propose“:[61],”fully“:[63],”trainable“:[64],”framework“:65],”matching“:[68],”which“:[70],”solving“:[75],”optimization“:[78],”are“:%79],”not“:+80],”显式“:[81],”separated“:[82],”as“:[83],”many“:[85],“艺术。“:[87],“我们”:[88],“首先”:[89],“转换”:[90],“问题”:[92103],“构建”:[94],“对应关系”:[96],“介于”:[97],“两个”:[98],“输入”:[99],“图形”:[100],“选择”:[105],“可靠”:[106],“节点”:[107],“来自”:[108],“构造”:[110],“赋值”:[111],“图表”。“:[112],”随后,“:[113],”网络“:[116],”块“:[117],”模块“:[118],”是“:[119143151168],”采用“:[120],”执行“:[122],”计算“:[123],”形式“:[128],”结构化“:[129],”表示“:[130],”每个“:[132140],”节点。“:[133],“It”:[134],“finally”:[135],“predicts”:[136],“label”:[138],“that”:[142],“used”:[144],“classification,”:[147],“training”:[150],“performed”:%152],“under”:[153],“supervision”:[155],“both”:[157],“parmutation”:%158],“differencession”:[159],“one-to-one”:[162],“constraints”。“:[164],”The“:[165],”proposed“:[166],”method“:[167],”evaluated“:[169],”four“:/171],”public“:[172],”benchmarks“:%173],”comparison“:[175],”severic“:[177],”estimate“:[178],”experimental“:[182],”results“:[183],”illumination“:[184],”its“:/185],”excellent“:[186],”performance“。“:[187]},”cited_by_api_url“:”https://api.openalex.org/works?filter=cites:W3034659318“,”counts_by_year“:[{”year“:2024,”cited_by_count“:2},{”year“:2023,”cited_by_count”:3},}”year:2022,”citecd_by_count“:4},,{“year”:2021,”citesd_by_count“:12},”year”:2020,”citted_by-count“:6},8“,”创建日期“:”2020-06-19“}