{"id":"https://openalex.org/W3214213874","doi":"https://doi.org/10.1145/3480244","title":"Graph Community Infomax","display_name":"Graph Community Infomax","publication_year":2021,"publication_date":"2021-11-15","ids":{"openalex":"https://openalex.org/W3214213874","doi":"https://doi.org/10.1145/3480244","mag":"3214213874"},"language":"en","primary_location":{"id":"doi:10.1145/3480244","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3480244","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-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/A5100705864","display_name":"Heli Sun","orcid":"https://orcid.org/0000-0003-0818-0301"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heli Sun","raw_affiliation_strings":["Xi\u2019an Jiaotong University, Shaanxi, China","Xi'an Jiaotong University, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi\u2019an Jiaotong University, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Xi'an Jiaotong University, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008822438","display_name":"Li Yang","orcid":"https://orcid.org/0000-0001-9383-1097"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["Xi\u2019an Jiaotong University, Shaanxi, China","Xi'an Jiaotong University, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi\u2019an Jiaotong University, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Xi'an Jiaotong University, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100554211","display_name":"Bing Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Lv","raw_affiliation_strings":["Xi\u2019an Jiaotong University, Shaanxi, China","Xi'an Jiaotong University, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi\u2019an Jiaotong University, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Xi'an Jiaotong University, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101283165","display_name":"Wujie Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wujie Yan","raw_affiliation_strings":["Xi\u2019an Jiaotong University, Shaanxi, China","Xi'an Jiaotong University, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi\u2019an Jiaotong University, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Xi'an Jiaotong University, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100317921","display_name":"Liang He","orcid":"https://orcid.org/0000-0003-4826-629X"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang He","raw_affiliation_strings":["Xi\u2019an Jiaotong University, Shaanxi, China","Xi'an Jiaotong University, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi\u2019an Jiaotong University, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Xi'an Jiaotong University, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074090518","display_name":"Shaojie Qiao","orcid":"https://orcid.org/0000-0002-4703-780X"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaojie Qiao","raw_affiliation_strings":["Chengdu University of Information Technology, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chengdu University of Information Technology, Sichuan, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049444908","display_name":"Jianbin Huang","orcid":"https://orcid.org/0009-0007-6851-4752"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianbin Huang","raw_affiliation_strings":["Xidian University, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4095,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69387635,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"16","issue":"3","first_page":"1","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9987000226974487,"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":0.954800009727478,"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/infomax","display_name":"Infomax","score":0.8740649223327637},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7197654247283936},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6636785268783569},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.585134744644165},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.564123809337616},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5142607092857361},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5004479885101318},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.49993038177490234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49006760120391846},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.45468616485595703},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.4522356390953064},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.43359285593032837},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.42672818899154663},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.4231756329536438},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4024350047111511},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.23283034563064575},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20407980680465698}],"concepts":[{"id":"https://openalex.org/C153402090","wikidata":"https://www.wikidata.org/wiki/Q6030480","display_name":"Infomax","level":4,"score":0.8740649223327637},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7197654247283936},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6636785268783569},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.585134744644165},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.564123809337616},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5142607092857361},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5004479885101318},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.49993038177490234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49006760120391846},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.45468616485595703},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.4522356390953064},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.43359285593032837},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.42672818899154663},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.4231756329536438},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4024350047111511},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.23283034563064575},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20407980680465698},{"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},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3480244","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3480244","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1352558047","display_name":null,"funder_award_id":"2020KW-002","funder_id":"https://openalex.org/F4320336350","funder_display_name":"Key Research and Development Projects of Shaanxi Province"},{"id":"https://openalex.org/G3974467594","display_name":null,"funder_award_id":"2020AAA0107100 and 2020YFB1406900","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7247189908","display_name":null,"funder_award_id":"62072365","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320336350","display_name":"Key Research and Development Projects of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W1888005072","https://openalex.org/W2023655578","https://openalex.org/W2048239613","https://openalex.org/W2108119513","https://openalex.org/W2147468287","https://openalex.org/W2151936673","https://openalex.org/W2153959628","https://openalex.org/W2154851992","https://openalex.org/W2387462954","https://openalex.org/W2393319904","https://openalex.org/W2405933695","https://openalex.org/W2531563875","https://openalex.org/W2593390416","https://openalex.org/W2604942799","https://openalex.org/W2617535548","https://openalex.org/W2767834929","https://openalex.org/W2767849480","https://openalex.org/W2808409763","https://openalex.org/W2808987817","https://openalex.org/W2891649471","https://openalex.org/W2922080080","https://openalex.org/W2937967841","https://openalex.org/W2962756421","https://openalex.org/W2962852342","https://openalex.org/W2965819445","https://openalex.org/W2972607219","https://openalex.org/W2996259521","https://openalex.org/W2999817249","https://openalex.org/W3003191009","https://openalex.org/W3012816161","https://openalex.org/W3020846497","https://openalex.org/W3035665545","https://openalex.org/W3038022805","https://openalex.org/W3052570231","https://openalex.org/W3082154031","https://openalex.org/W3104038788","https://openalex.org/W3104097132","https://openalex.org/W3105705953","https://openalex.org/W3119532779","https://openalex.org/W3194841521","https://openalex.org/W4288102469"],"related_works":["https://openalex.org/W4213150077","https://openalex.org/W2369410163","https://openalex.org/W2059018062","https://openalex.org/W2604585036","https://openalex.org/W2078477160","https://openalex.org/W1989103179","https://openalex.org/W1991172810","https://openalex.org/W125803343","https://openalex.org/W2153421018","https://openalex.org/W2117632582"],"abstract_inverted_index":{"Graph":[0,30],"representation":[1],"learning":[2,5],"aims":[3],"at":[4,82],"low-dimension":[6],"representations":[7,38],"for":[8,39,95],"nodes":[9,40,73,96,113],"in":[10,18,41],"graphs,":[11],"and":[12,61,78,97,102,114,120],"has":[13],"been":[14],"proven":[15],"very":[16],"useful":[17],"several":[19,118],"downstream":[20],"tasks.":[21,135],"In":[22],"this":[23],"article,":[24],"we":[25],"propose":[26],"a":[27,103],"new":[28],"model,":[29],"Community":[31],"Infomax":[32],"(GCI),":[33],"that":[34,54,125],"can":[35],"adversarial":[36,47],"learn":[37,91],"attributed":[42],"networks.":[43],"Different":[44],"from":[45],"other":[46],"network":[48,129],"embedding":[49,93,130],"models,":[50],"which":[51],"would":[52],"assume":[53],"the":[55,67,83,92,99,109],"data":[56],"follow":[57],"some":[58],"prior":[59],"distributions":[60],"generate":[62],"fake":[63],"examples,":[64],"GCI":[65,126],"utilizes":[66],"community":[68,133],"information":[69,111],"of":[70],"networks,":[71],"using":[72],"as":[74],"positive(or":[75],"real)":[76],"examples":[77,81],"negative(or":[79],"fake)":[80],"same":[84],"time.":[85],"An":[86],"autoencoder":[87],"is":[88,105],"applied":[89],"to":[90,107],"vectors":[94],"reconstruct":[98],"adjacency":[100],"matrix,":[101],"discriminator":[104],"used":[106],"maximize":[108],"mutual":[110],"between":[112],"communities.":[115],"Experiments":[116],"on":[117,132],"real-world":[119],"synthetic":[121],"networks":[122],"have":[123],"shown":[124],"outperforms":[127],"various":[128],"methods":[131],"detection":[134]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}