{"id":"https://openalex.org/W3011503045","doi":"https://doi.org/10.1109/access.2020.2979865","title":"Semi-Supervised Gated Spectral Convolution on a Directed Signed Network","display_name":"Semi-Supervised Gated Spectral Convolution on a Directed Signed Network","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3011503045","doi":"https://doi.org/10.1109/access.2020.2979865","mag":"3011503045"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2979865","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2979865","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09031355.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09031355.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005922817","display_name":"Jiancong Cui","orcid":"https://orcid.org/0000-0003-1444-2056"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiancong Cui","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013584378","display_name":"Hui Zhuang","orcid":"https://orcid.org/0000-0002-1685-7135"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zhuang","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087289491","display_name":"Taoran Liu","orcid":"https://orcid.org/0000-0002-7806-1263"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Taoran Liu","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100370862","display_name":"Hong Wang","orcid":"https://orcid.org/0000-0001-5727-7834"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Wang","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan, China","Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology, Shandong Normal University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0001-5727-7834","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]},{"raw_affiliation_string":"Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5005922817"],"corresponding_institution_ids":["https://openalex.org/I28006308"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.0879,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.82297282,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"49705","last_page":"49716"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":1.0,"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":1.0,"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":0.9994999766349792,"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/T10028","display_name":"Topic Modeling","score":0.9929999709129333,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7700129747390747},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.6319860816001892},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5204361081123352},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4862883985042572},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.47244006395339966},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.45631110668182373},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4478031396865845},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4266250729560852},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33949291706085205},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2466522455215454},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17293831706047058}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7700129747390747},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.6319860816001892},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5204361081123352},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4862883985042572},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.47244006395339966},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.45631110668182373},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4478031396865845},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4266250729560852},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33949291706085205},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2466522455215454},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17293831706047058},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2979865","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2979865","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09031355.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:52b0346677854ee8863ec42b906d0552","is_oa":true,"landing_page_url":"https://doaj.org/article/52b0346677854ee8863ec42b906d0552","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 49705-49716 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2979865","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2979865","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09031355.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G2974766273","display_name":null,"funder_award_id":"61572300","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2990063878","display_name":null,"funder_award_id":"TSHW201502038","funder_id":"https://openalex.org/F4320326185","funder_display_name":"Taishan Scholar Foundation of Shandong Province"},{"id":"https://openalex.org/G3520838903","display_name":null,"funder_award_id":"61472233","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4037806981","display_name":null,"funder_award_id":"81273704","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5357148413","display_name":null,"funder_award_id":"TSHW201502038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6525086161","display_name":null,"funder_award_id":"20110819","funder_id":"https://openalex.org/F4320326185","funder_display_name":"Taishan Scholar Foundation of Shandong Province"},{"id":"https://openalex.org/G7921717826","display_name":null,"funder_award_id":"61672329","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/F4320326185","display_name":"Taishan Scholar Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320337368","display_name":"Division of Graduate Education","ror":"https://ror.org/00whkrf32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3011503045.pdf","grobid_xml":"https://content.openalex.org/works/W3011503045.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W44499440","https://openalex.org/W67123050","https://openalex.org/W108936587","https://openalex.org/W1533861849","https://openalex.org/W1537447662","https://openalex.org/W2016925198","https://openalex.org/W2024218614","https://openalex.org/W2028513945","https://openalex.org/W2053081145","https://openalex.org/W2053831280","https://openalex.org/W2059225194","https://openalex.org/W2073415627","https://openalex.org/W2101420429","https://openalex.org/W2114051435","https://openalex.org/W2128269848","https://openalex.org/W2134737843","https://openalex.org/W2138399168","https://openalex.org/W2142517301","https://openalex.org/W2157331557","https://openalex.org/W2187089797","https://openalex.org/W2402969480","https://openalex.org/W2519887557","https://openalex.org/W2554952599","https://openalex.org/W2590351413","https://openalex.org/W2622849676","https://openalex.org/W2755088640","https://openalex.org/W2756203131","https://openalex.org/W2770250693","https://openalex.org/W2770326696","https://openalex.org/W2786915849","https://openalex.org/W2788045146","https://openalex.org/W2789456849","https://openalex.org/W2887092413","https://openalex.org/W2962756421","https://openalex.org/W2963695795","https://openalex.org/W2964015378","https://openalex.org/W2964140784","https://openalex.org/W2964234429","https://openalex.org/W3100330855","https://openalex.org/W3103720336","https://openalex.org/W3142588439","https://openalex.org/W4242600897","https://openalex.org/W4298299405","https://openalex.org/W4322614756","https://openalex.org/W6631943919","https://openalex.org/W6726873649","https://openalex.org/W6730084236","https://openalex.org/W6734163967","https://openalex.org/W6746218673","https://openalex.org/W6748799445"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4312407344","https://openalex.org/W2894289927"],"abstract_inverted_index":{"A":[0],"complex":[1,10,193],"network":[2,21,34,53,62,182],"is":[3,84,244],"a":[4,9,20,57,104,197],"powerful":[5],"tool":[6],"that":[7,71,240],"enables":[8],"system":[11],"in":[12,40,95,111,159],"the":[13,25,47,50,89,118,121,131,134,141,144,149,164,170,175,189,208,212,219,231,241],"real":[14],"world":[15],"to":[16,24,78,86,123,173,180,200],"be":[17,75],"represented":[18],"as":[19],"structure.":[22],"Due":[23],"heterogeneous":[26],"edges":[27,94],"and":[28,43,91,146],"nodes":[29],"implying":[30],"rich":[31],"semantic":[32],"information,":[33,204],"representation":[35],"has":[36,55],"received":[37],"considerable":[38],"attention":[39],"both":[41],"research":[42],"industrial":[44],"domain.":[45],"Over":[46],"recent":[48],"years,":[49],"graph":[51],"convolutional":[52],"(GCN)":[54],"provided":[56],"novel":[58],"approach":[59],"for":[60,106,230],"learning":[61],"embeddings.":[63],"However,":[64],"this":[65,99],"primarily":[66],"supports":[67],"undirected":[68],"unsigned":[69],"networks;":[70],"is,":[72],"it":[73,83],"cannot":[74],"directly":[76],"applied":[77],"directed":[79,112,124,160],"signed":[80,113,125,161],"networks":[81,165],"because":[82],"challenging":[85],"effectively":[87],"depict":[88],"direction":[90],"signs":[92,147],"of":[93,120,133,143,148,177,191,211],"such":[96],"models.":[97],"In":[98],"paper,":[100],"we":[101,168,195,217],"therefore":[102],"propose":[103,196],"method":[105,221,243],"semi-supervised":[107],"gated":[108],"spectral":[109],"convolution":[110],"networks.":[114],"We":[115,151],"first":[116],"extend":[117],"concept":[119],"GCN":[122,136],"networks,":[126,162,194],"which":[127,205],"not":[128],"only":[129],"preserves":[130],"advantages":[132],"traditional":[135],"but":[137],"also":[138],"properly":[139],"describes":[140],"significance":[142],"directions":[145],"edges.":[150],"then":[152],"innovatively":[153],"define":[154],"sign":[155,178,203,213,234],"(label)":[156],"propagation":[157,179,214],"rules":[158],"rendering":[163],"semi-supervised.":[166],"Furthermore,":[167],"enhance":[169],"balance":[171],"theory":[172],"constrain":[174],"process":[176],"obtain":[181],"embedding":[183],"with":[184,222],"better":[185],"interpretability.":[186],"To":[187],"satisfy":[188],"needs":[190],"large-scale":[192],"gating":[198],"mechanism":[199],"adaptively":[201],"forget":[202],"significantly":[206],"reduces":[207],"time-space":[209],"complexity":[210],"process.":[215],"Finally,":[216],"compare":[218],"proposed":[220,242],"state-of-the-art":[223],"baselines":[224],"using":[225],"four":[226],"real-world":[227],"data":[228],"sets":[229],"classical":[232],"link":[233],"prediction":[235],"task.":[236],"Experimental":[237],"results":[238],"demonstrate":[239],"competitive.":[245]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":5}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
