{"id":"https://openalex.org/W3004416639","doi":"https://doi.org/10.1145/3377713.3377747","title":"Multi-perspective Network Representation Based on Human Curation","display_name":"Multi-perspective Network Representation Based on Human Curation","publication_year":2019,"publication_date":"2019-12-20","ids":{"openalex":"https://openalex.org/W3004416639","doi":"https://doi.org/10.1145/3377713.3377747","mag":"3004416639"},"language":"en","primary_location":{"id":"doi:10.1145/3377713.3377747","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377713.3377747","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 2nd International Conference on Algorithms, Computing and Artificial Intelligence","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/A5101968045","display_name":"Haiying Liu","orcid":"https://orcid.org/0000-0001-8720-0977"},"institutions":[{"id":"https://openalex.org/I137506752","display_name":"North China University of Science and Technology","ror":"https://ror.org/04z4wmb81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137506752"]},{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiying Liu","raw_affiliation_strings":["Beijing University of Technology, Beijing, China, College of Information Engineering, North China University of Science and Technology Tangshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, Beijing, China, College of Information Engineering, North China University of Science and Technology Tangshan, China","institution_ids":["https://openalex.org/I37796252","https://openalex.org/I137506752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015870451","display_name":"Meng Jian","orcid":"https://orcid.org/0000-0001-5659-5128"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Jian","raw_affiliation_strings":["Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028766722","display_name":"Bowen Yang","orcid":"https://orcid.org/0000-0002-6305-5565"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bowen Yang","raw_affiliation_strings":["Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100373159","display_name":"Heng Zhang","orcid":"https://orcid.org/0000-0003-2159-9705"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Zhang","raw_affiliation_strings":["Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19071174,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"154","last_page":"159"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9975000023841858,"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":0.9836999773979187,"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/perspective","display_name":"Perspective (graphical)","score":0.7354347705841064},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6855776309967041},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6544721126556396},{"id":"https://openalex.org/keywords/data-curation","display_name":"Data curation","score":0.4408777952194214},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3559390902519226},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3506217896938324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3433987498283386},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3251921236515045}],"concepts":[{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.7354347705841064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6855776309967041},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6544721126556396},{"id":"https://openalex.org/C91632574","wikidata":"https://www.wikidata.org/wiki/Q15088675","display_name":"Data curation","level":2,"score":0.4408777952194214},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3559390902519226},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3506217896938324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3433987498283386},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3251921236515045},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3377713.3377747","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377713.3377747","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 2nd International Conference on Algorithms, Computing and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W1615470699","https://openalex.org/W1888005072","https://openalex.org/W2062797058","https://openalex.org/W2145658888","https://openalex.org/W2153579005","https://openalex.org/W2153635508","https://openalex.org/W2154851992","https://openalex.org/W2295128594","https://openalex.org/W2338303460","https://openalex.org/W2393319904","https://openalex.org/W2519887557","https://openalex.org/W2577283662","https://openalex.org/W2579372251","https://openalex.org/W2730102015","https://openalex.org/W2739747431","https://openalex.org/W2740934577","https://openalex.org/W2743104969","https://openalex.org/W2745929986","https://openalex.org/W2761896323","https://openalex.org/W2822583556","https://openalex.org/W2896429681","https://openalex.org/W2912500072","https://openalex.org/W2950723285","https://openalex.org/W2962756421","https://openalex.org/W2962779748","https://openalex.org/W2964015378","https://openalex.org/W3104097132","https://openalex.org/W3104717349","https://openalex.org/W3105705953","https://openalex.org/W4254853386","https://openalex.org/W4291474301","https://openalex.org/W6636548682"],"related_works":["https://openalex.org/W2701062589","https://openalex.org/W4308914582","https://openalex.org/W4388126069","https://openalex.org/W2149537132","https://openalex.org/W2018871932","https://openalex.org/W4306317641","https://openalex.org/W1488337274","https://openalex.org/W2216178707","https://openalex.org/W3095602079","https://openalex.org/W4287611188"],"abstract_inverted_index":{"Network":[0],"representation":[1,65,109,129],"learning":[2,66],"represents":[3],"nodes":[4],"in":[5,21,56,125,141,167],"networks":[6,41,93,136],"as":[7,26],"low-dimension":[8],"vectors":[9],"which":[10,73,94,116,143],"has":[11],"been":[12],"attracting":[13],"increasing":[14],"attention":[15],"recently":[16],"due":[17],"to":[18,118],"its":[19],"effectiveness":[20],"network":[22,108,120,128,155],"analysis":[23],"tasks":[24],"such":[25],"classification":[27,169],"and":[28,137,149,170],"link":[29,171],"prediction.":[30],"In":[31],"this":[32],"paper,":[33],"our":[34],"focus":[35],"is":[36],"on":[37,111],"content":[38],"curation":[39,113,139,151],"social":[40,58],"(CCSNs).":[42],"There":[43],"are":[44,89],"more":[45],"than":[46],"one":[47,71],"user":[48,54,146],"relation":[49,147],"subnetworks":[50,148],"formed":[51],"by":[52],"different":[53,78,102],"relations":[55,124],"a":[57,106],"media":[59],"network.":[60],"However,":[61],"most":[62,84],"of":[63,85,101,135],"existing":[64,87],"algorithms":[67],"usually":[68],"study":[69,75],"only":[70],"subnetwork":[72],"cannot":[74],"users":[76],"from":[77],"views.":[79],"On":[80],"the":[81,86,98,132,161],"other":[82],"hand,":[83],"approaches":[88],"designed":[90],"for":[91,153],"universal":[92],"do":[95],"not":[96],"consider":[97],"unique":[99,133],"characteristics":[100],"networks.":[103],"We":[104],"propose":[105],"multi-perspective":[107],"based":[110],"human":[112,138,150],"(MNHC)":[114],"model,":[115],"aims":[117],"infer":[119],"representations":[121],"across":[122],"multiple":[123],"CCSNs.":[126],"The":[127],"model":[130,162],"utilizes":[131],"structure":[134],"signals":[140,152],"CCSNs":[142],"combines":[144],"two":[145],"informative":[154],"representations.":[156],"Experiment":[157],"results":[158],"show":[159],"that":[160],"could":[163],"obtain":[164],"good":[165],"performance":[166],"both":[168],"prediction":[172],"tasks.":[173]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}