{"id":"https://openalex.org/W3115263587","doi":"https://doi.org/10.1145/3437963.3441763","title":"Unsupervised Attributed Network Embedding via Cross Fusion","display_name":"Unsupervised Attributed Network Embedding via Cross Fusion","publication_year":2021,"publication_date":"2021-03-06","ids":{"openalex":"https://openalex.org/W3115263587","doi":"https://doi.org/10.1145/3437963.3441763","mag":"3115263587"},"language":"en","primary_location":{"id":"doi:10.1145/3437963.3441763","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3437963.3441763","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3437963.3441763","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3437963.3441763","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059270633","display_name":"Guosheng Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guosheng Pan","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068643894","display_name":"Yuan Yao","orcid":"https://orcid.org/0000-0002-6913-6542"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Yao","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068043486","display_name":"Hanghang Tong","orcid":"https://orcid.org/0000-0003-4405-3887"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanghang Tong","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana-Champaign, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana-Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112579705","display_name":"Feng Xu","orcid":"https://orcid.org/0000-0003-3347-7510"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Xu","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037645622","display_name":"Jian L\u00fc","orcid":"https://orcid.org/0000-0002-7025-7448"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Lu","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5059270633"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":2.2398,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.89673544,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"797","last_page":"805"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9997000098228455,"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":0.9997000098228455,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9886000156402588,"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":0.9412999749183655,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.790274977684021},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7519625425338745},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6463963389396667},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.571425199508667},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.562103271484375},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5251081585884094},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.47323665022850037},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4731517732143402},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46167728304862976},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3428589701652527},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.33892855048179626},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3019285798072815},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12083733081817627},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07094770669937134}],"concepts":[{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.790274977684021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7519625425338745},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6463963389396667},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.571425199508667},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.562103271484375},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5251081585884094},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.47323665022850037},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4731517732143402},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46167728304862976},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3428589701652527},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.33892855048179626},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3019285798072815},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12083733081817627},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07094770669937134},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3437963.3441763","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3437963.3441763","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3437963.3441763","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3437963.3441763","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3437963.3441763","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3437963.3441763","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G1490481123","display_name":null,"funder_award_id":"1939725","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2540003204","display_name":null,"funder_award_id":"194713","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2741821012","display_name":null,"funder_award_id":"947135","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3442037871","display_name":null,"funder_award_id":"61690204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4145427506","display_name":null,"funder_award_id":"6167227","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5838847886","display_name":null,"funder_award_id":"1947135","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6159150101","display_name":null,"funder_award_id":"61672274","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6345289068","display_name":null,"funder_award_id":"2003924","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3115263587.pdf","grobid_xml":"https://content.openalex.org/works/W3115263587.grobid-xml"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W1888005072","https://openalex.org/W2090891622","https://openalex.org/W2125031621","https://openalex.org/W2154851992","https://openalex.org/W2187089797","https://openalex.org/W2242161203","https://openalex.org/W2288746969","https://openalex.org/W2387462954","https://openalex.org/W2393319904","https://openalex.org/W2519887557","https://openalex.org/W2530041791","https://openalex.org/W2536880093","https://openalex.org/W2554952599","https://openalex.org/W2583803680","https://openalex.org/W2604942799","https://openalex.org/W2605234117","https://openalex.org/W2607500032","https://openalex.org/W2622489478","https://openalex.org/W2623187518","https://openalex.org/W2624431344","https://openalex.org/W2626778328","https://openalex.org/W2737388338","https://openalex.org/W2743104969","https://openalex.org/W2767460050","https://openalex.org/W2767500585","https://openalex.org/W2767774008","https://openalex.org/W2784814091","https://openalex.org/W2786915849","https://openalex.org/W2787927827","https://openalex.org/W2788045146","https://openalex.org/W2808000122","https://openalex.org/W2808361044","https://openalex.org/W2808466528","https://openalex.org/W2809219720","https://openalex.org/W2893944917","https://openalex.org/W2907192581","https://openalex.org/W2911286998","https://openalex.org/W2911840101","https://openalex.org/W2945266622","https://openalex.org/W2945827377","https://openalex.org/W2950133940","https://openalex.org/W2950723285","https://openalex.org/W2962711740","https://openalex.org/W2962756421","https://openalex.org/W2963325573","https://openalex.org/W2963858333","https://openalex.org/W2963893312","https://openalex.org/W2964114465","https://openalex.org/W2965080627","https://openalex.org/W2965475609","https://openalex.org/W2965857891","https://openalex.org/W2966567766","https://openalex.org/W2982880755","https://openalex.org/W3005644236","https://openalex.org/W3101444938","https://openalex.org/W3101553402","https://openalex.org/W3103995645","https://openalex.org/W3104097132","https://openalex.org/W3105705953","https://openalex.org/W6820618299"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W1950940422","https://openalex.org/W2129146436","https://openalex.org/W2032507829"],"abstract_inverted_index":{"Attributed":[0],"network":[1,31,49,89,100,142],"embedding":[2],"aims":[3],"to":[4,47,51,58,69,98,111,137],"learn":[5,34],"low":[6],"dimensional":[7],"node":[8,18,36,52,103,154,162],"representations":[9,37],"by":[10,38,174],"combining":[11],"both":[12],"the":[13,22,27,30,35,60,64,75,78,119,127,141,146,149,167,175,188,191],"network's":[14],"topological":[15],"structure":[16,32,50,101,176],"and":[17,102,105,116,157,183],"attributes.":[19],"Most":[20],"of":[21,77,126,152,190],"existing":[23],"methods":[24,45,56],"either":[25],"propagate":[26],"attributes":[28],"over":[29],"or":[33],"an":[39,160],"encoder-decoder":[40,55],"framework.":[41],"However,":[42],"propagation":[43],"based":[44],"tend":[46,57],"prefer":[48],"attributes,":[53,104],"whereas":[54],"ignore":[59],"longer":[61],"connections":[62],"beyond":[63],"immediate":[65],"neighbors.":[66],"In":[67],"order":[68],"address":[70],"these":[71],"limitations":[72],"while":[73],"enjoying":[74],"best":[76],"two":[79,95,120],"worlds,":[80],"we":[81,92],"design":[82,107,124],"cross":[83,108,128],"fusion":[84,109,129],"layers":[85,110,130],"for":[86],"unsupervised":[87],"attributed":[88],"embedding.":[90],"Specifically,":[91],"first":[93],"construct":[94],"separate":[96],"views":[97],"handle":[99],"then":[106],"allow":[112],"flexible":[113],"information":[114,136,169],"exchange":[115],"integration":[117],"between":[118],"views.":[121],"The":[122],"key":[123],"goals":[125],"are":[131],"three-fold:":[132],"1)":[133],"allowing":[134],"critical":[135],"be":[138,172],"propagated":[139],"along":[140],"structure,":[143],"2)":[144],"encoding":[145],"heterogeneity":[147],"in":[148],"local":[150],"neighborhood":[151],"each":[153],"during":[155],"propagation,":[156],"3)":[158],"incorporating":[159],"additional":[161],"attribute":[163,168],"channel":[164],"so":[165],"that":[166],"will":[170],"not":[171],"overshadowed":[173],"view.":[177],"Extensive":[178],"experiments":[179],"on":[180],"three":[181,184],"datasets":[182],"downstream":[185],"tasks":[186],"demonstrate":[187],"effectiveness":[189],"proposed":[192],"method.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
