{"id":"https://openalex.org/W3213663830","doi":"https://doi.org/10.1145/3456172.3456217","title":"Attribute Network Alignment Based on Network Embedding","display_name":"Attribute Network Alignment Based on Network Embedding","publication_year":2021,"publication_date":"2021-01-15","ids":{"openalex":"https://openalex.org/W3213663830","doi":"https://doi.org/10.1145/3456172.3456217","mag":"3213663830"},"language":"en","primary_location":{"id":"doi:10.1145/3456172.3456217","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3456172.3456217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 7th International Conference on Computing and Data Engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100785995","display_name":"Fan Yang","orcid":"https://orcid.org/0000-0003-0165-9803"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fan Yang","raw_affiliation_strings":["Dalian University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000836998","display_name":"Wenxin Liang","orcid":"https://orcid.org/0000-0002-9166-3138"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxin Liang","raw_affiliation_strings":["Dalian University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030649664","display_name":"Linlin Zong","orcid":"https://orcid.org/0000-0002-1116-1016"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linlin Zong","raw_affiliation_strings":["Dalian University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100785995"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":0.136,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56635919,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"75","last_page":"80"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9810000061988831,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7964591979980469},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7684895992279053},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.7077959775924683},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5860810279846191},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.501659631729126},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49148833751678467},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.453045129776001},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45127880573272705},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4474862217903137},{"id":"https://openalex.org/keywords/network-structure","display_name":"Network structure","score":0.42059749364852905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3547205328941345}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7964591979980469},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7684895992279053},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.7077959775924683},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5860810279846191},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.501659631729126},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49148833751678467},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.453045129776001},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45127880573272705},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4474862217903137},{"id":"https://openalex.org/C2988224531","wikidata":"https://www.wikidata.org/wiki/Q20830730","display_name":"Network structure","level":2,"score":0.42059749364852905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3547205328941345},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3456172.3456217","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3456172.3456217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 7th International Conference on Computing and Data Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5732462015","display_name":null,"funder_award_id":"No. DUT19RC(3)048","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1888005072","https://openalex.org/W1973956316","https://openalex.org/W2022580894","https://openalex.org/W2108544558","https://openalex.org/W2127607093","https://openalex.org/W2154851992","https://openalex.org/W2241660235","https://openalex.org/W2391555403","https://openalex.org/W2571692900","https://openalex.org/W2607500032","https://openalex.org/W2752782242","https://openalex.org/W2777398797","https://openalex.org/W2788259657","https://openalex.org/W2793022729","https://openalex.org/W2808284704","https://openalex.org/W2888657195","https://openalex.org/W2914547623","https://openalex.org/W2962756421","https://openalex.org/W2964418074","https://openalex.org/W3103296165","https://openalex.org/W3104097132","https://openalex.org/W3105705953","https://openalex.org/W4288269198"],"related_works":["https://openalex.org/W2892165056","https://openalex.org/W2098964748","https://openalex.org/W2476079015","https://openalex.org/W2556086418","https://openalex.org/W2747027460","https://openalex.org/W2001447365","https://openalex.org/W2385510805","https://openalex.org/W2083497492","https://openalex.org/W1592118010","https://openalex.org/W2952147226"],"abstract_inverted_index":{"Nodes":[0],"with":[1,171],"similar":[2],"network":[3,27,51,57,62,77,94,112,116,176],"structure":[4,63,78,86,95,132],"and":[5,64,79,87,96,114,134,166],"attribute":[6,50,97,111,140],"features":[7,98],"probably":[8],"distribute":[9],"across":[10,20,35],"different":[11],"networks.":[12,23],"For":[13],"instance,":[14],"people":[15],"tend":[16],"to":[17,29,129,137,148],"have":[18],"accounts":[19],"various":[21],"social":[22,42],"In":[24,44,123],"recent":[25],"years,":[26],"alignment":[28,52,117,177],"identify":[30],"potential":[31],"correspondences":[32],"between":[33],"nodes":[34],"networks":[36],"has":[37],"been":[38],"research":[39],"focus":[40],"on":[41,56,76,85,175],"computing.":[43],"this":[45],"paper,":[46],"we":[47,125,156],"propose":[48],"an":[49,135],"method":[53,73],"ANANE":[54,91,161],"based":[55,74,84],"embedding,":[58],"which":[59],"uses":[60],"the":[61,70,80,89,110,115,131,139,143,150],"node":[65,104],"attributes":[66],"together.":[67],"Different":[68],"from":[69],"previous":[71],"embedding":[72,102,113,133,152],"only":[75],"existing":[81],"iterative":[82],"process":[83],"attributes,":[88],"proposed":[90,159],"integrates":[92],"heterogeneous":[93],"into":[99],"a":[100,120],"unified":[101,121,151],"for":[103,153],"similarity":[105],"measurement.":[106],"We":[107],"solve":[108],"both":[109],"simultaneously":[118],"under":[119],"framework.":[122],"particular,":[124],"use":[126],"neighbor":[127],"approximation":[128],"generate":[130],"auto-coder":[136],"obtain":[138],"embedding.":[141],"Then":[142],"attention":[144],"mechanism":[145],"is":[146],"used":[147],"get":[149],"alignment.":[154],"Empirically,":[155],"evaluate":[157],"our":[158],"model":[160],"over":[162],"several":[163,172],"real-world":[164],"datasets,":[165],"it":[167],"demonstrates":[168],"effectiveness":[169],"compared":[170],"state-of-the-art":[173],"methods":[174],"tasks.":[178]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
