{"id":"https://openalex.org/W2808340618","doi":"https://doi.org/10.24963/ijcai.2018/473","title":"Integrative Network Embedding via Deep Joint Reconstruction","display_name":"Integrative Network Embedding via Deep Joint Reconstruction","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2808340618","doi":"https://doi.org/10.24963/ijcai.2018/473","mag":"2808340618"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2018/473","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/473","pdf_url":"https://www.ijcai.org/proceedings/2018/0473.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2018/0473.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012455357","display_name":"Di Jin","orcid":"https://orcid.org/0000-0002-7445-9936"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Di Jin","raw_affiliation_strings":["School of Computer Science and Technology, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University, Tianjin, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071074013","display_name":"Meng Ge","orcid":"https://orcid.org/0000-0003-2017-4529"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meng Ge","raw_affiliation_strings":["School of Computer Science and Technology, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University, Tianjin, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003769188","display_name":"Liang Yang","orcid":"https://orcid.org/0000-0001-6291-4359"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Yang","raw_affiliation_strings":["School of Computer Science and Engineering, Hebei University of Technology, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009013876","display_name":"Dongxiao He","orcid":"https://orcid.org/0000-0002-1915-4179"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dongxiao He","raw_affiliation_strings":["School of Computer Science and Technology, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University, Tianjin, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101745213","display_name":"Longbiao Wang","orcid":"https://orcid.org/0000-0002-8094-6861"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Longbiao Wang","raw_affiliation_strings":["School of Computer Science and Technology, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University, Tianjin, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068659777","display_name":"Weixiong Zhang","orcid":"https://orcid.org/0000-0002-4998-9791"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]},{"id":"https://openalex.org/I31590910","display_name":"Jianghan University","ror":"https://ror.org/041c9x778","country_code":"CN","type":"education","lineage":["https://openalex.org/I31590910"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Weixiong Zhang","raw_affiliation_strings":["College of Math and Computer Science, Jianghan University, Wuhan, China","Department of Computer Science and Engineering, Washington University, St. Louis, USA"],"affiliations":[{"raw_affiliation_string":"College of Math and Computer Science, Jianghan University, Wuhan, China","institution_ids":["https://openalex.org/I31590910"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Washington University, St. Louis, USA","institution_ids":["https://openalex.org/I204465549"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5012455357"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0309,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.8987498,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3407","last_page":"3413"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9901999831199646,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9613000154495239,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/embedding","display_name":"Embedding","score":0.7304166555404663},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6927891373634338},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6619973182678223},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5493372678756714},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5036596655845642},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4971146881580353},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4512644112110138},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44324713945388794},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.4408096373081207},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.4393068552017212},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4353320002555847},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.35275596380233765},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32885393500328064},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2870241105556488},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14426091313362122},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11021068692207336}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7304166555404663},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6927891373634338},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6619973182678223},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5493372678756714},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5036596655845642},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4971146881580353},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4512644112110138},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44324713945388794},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.4408096373081207},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.4393068552017212},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4353320002555847},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.35275596380233765},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32885393500328064},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2870241105556488},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14426091313362122},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11021068692207336},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2018/473","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/473","pdf_url":"https://www.ijcai.org/proceedings/2018/0473.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2018/473","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/473","pdf_url":"https://www.ijcai.org/proceedings/2018/0473.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2335634704","display_name":null,"funder_award_id":"61503281","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5854786607","display_name":null,"funder_award_id":"Tianjin","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7673242602","display_name":null,"funder_award_id":"61502334","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8451749416","display_name":null,"funder_award_id":"61772361","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322701","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2808340618.pdf","grobid_xml":"https://content.openalex.org/works/W2808340618.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1531439359","https://openalex.org/W1832693441","https://openalex.org/W1888005072","https://openalex.org/W2027973720","https://openalex.org/W2090891622","https://openalex.org/W2104819583","https://openalex.org/W2121947440","https://openalex.org/W2131933020","https://openalex.org/W2137962371","https://openalex.org/W2151936673","https://openalex.org/W2154851992","https://openalex.org/W2214989301","https://openalex.org/W2242161203","https://openalex.org/W2393319904","https://openalex.org/W2574817444","https://openalex.org/W2604745395","https://openalex.org/W2604942799","https://openalex.org/W2617902647","https://openalex.org/W2622489478","https://openalex.org/W2740934577","https://openalex.org/W2768352146","https://openalex.org/W2770250693","https://openalex.org/W2949541494","https://openalex.org/W2950723285","https://openalex.org/W2962756421","https://openalex.org/W2962975498","https://openalex.org/W3104097132","https://openalex.org/W4297571622"],"related_works":["https://openalex.org/W1968265719","https://openalex.org/W3036264823","https://openalex.org/W3206528106","https://openalex.org/W2912814903","https://openalex.org/W2123605750","https://openalex.org/W2088740331","https://openalex.org/W3038102983","https://openalex.org/W2950907416","https://openalex.org/W1559483280","https://openalex.org/W2082479932"],"abstract_inverted_index":{"Network":[0],"embedding":[1,42,82,96],"is":[2,83],"to":[3,13,24,125],"learn":[4],"a":[5,9,92,102,114,154,165],"low-dimensional":[6],"representation":[7,117,128],"for":[8,40,175],"network":[10,28,41,52,81,95,99,119,131],"in":[11,73,150,153],"order":[12],"capture":[14],"intrinsic":[15],"features":[16],"of":[17,35,48,59,118,146,168],"the":[18,36,74,79,126,147],"network.":[19],"It":[20],"has":[21,43,65],"been":[22,44,67],"applied":[23],"many":[25],"applications,":[26],"e.g.,":[27],"community":[29],"detection":[30],"and":[31,54,121,144],"user":[32],"recommendation.":[33],"One":[34],"recent":[37],"research":[38],"topics":[39],"focusing":[45],"on":[46,57,136,160],"exploitation":[47],"diverse":[49,63,148],"information,":[50,123],"including":[51],"topology":[53,120],"semantic":[55,122],"information":[56,64,149],"nodes":[58],"networks.":[60],"However,":[61],"such":[62],"not":[66],"fully":[68],"utilized":[69],"nor":[70],"adequately":[71],"integrated":[72],"existing":[75],"methods,":[76],"so":[77],"that":[78],"resulting":[80],"far":[84],"from":[85],"satisfactory.":[86],"In":[87],"this":[88],"paper,":[89],"we":[90],"develop":[91],"weight-free":[93],"multi-component":[94],"approach":[97,111],"by":[98,138],"reconstruction":[100],"via":[101],"deep":[103,155],"Autoencoder.":[104,156],"Three":[105],"key":[106],"components":[107],"make":[108],"our":[109,169],"new":[110],"effective,":[112],"i.e.,":[113],"uniformed":[115],"graph":[116,127,151],"enhancement":[124],"using":[129],"local":[130],"structure":[132],"(i.e.,":[133],"pairwise":[134],"relationship":[135],"nodes)":[137],"sampling":[139],"with":[140],"latent":[141],"space":[142],"regularization,":[143],"integration":[145],"forms":[152],"Extensive":[157],"experimental":[158],"results":[159],"seven":[161],"real-world":[162],"networks":[163],"demonstrate":[164],"superior":[166],"performance":[167],"method":[170],"over":[171],"nine":[172],"state-of-the-art":[173],"methods":[174],"embedding.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
