{"id":"https://openalex.org/W4308365798","doi":"https://doi.org/10.1109/tnnls.2022.3208914","title":"WalkGAN: Network Representation Learning With Sequence-Based Generative Adversarial Networks","display_name":"WalkGAN: Network Representation Learning With Sequence-Based Generative Adversarial Networks","publication_year":2022,"publication_date":"2022-11-07","ids":{"openalex":"https://openalex.org/W4308365798","doi":"https://doi.org/10.1109/tnnls.2022.3208914","pmid":"https://pubmed.ncbi.nlm.nih.gov/36342997"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2022.3208914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3208914","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5036950222","display_name":"Taisong Jin","orcid":"https://orcid.org/0000-0002-8873-1814"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Taisong Jin","raw_affiliation_strings":["Media Analytics and Computing Laboratory, Department of Computer Science and Technology, School of Informatics, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Media Analytics and Computing Laboratory, Department of Computer Science and Technology, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100604865","display_name":"Xixi Yang","orcid":"https://orcid.org/0000-0001-9839-2249"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xixi Yang","raw_affiliation_strings":["College of Information Science and Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100619287","display_name":"Zhengtao Yu","orcid":"https://orcid.org/0000-0002-4012-461X"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengtao Yu","raw_affiliation_strings":["Yunnan Key Laboratory of Artificial Intelligence, Yunnan, Kunming, China","Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Yunnan, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Yunnan Key Laboratory of Artificial Intelligence, Yunnan, Kunming, China","institution_ids":[]},{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Yunnan, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079203024","display_name":"Han Luo","orcid":"https://orcid.org/0000-0002-9674-0139"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Luo","raw_affiliation_strings":["Department of Computer Science and Technology, School of Informatics, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114139667","display_name":"Yongmei Zhang","orcid":"https://orcid.org/0000-0001-5025-7873"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongmei Zhang","raw_affiliation_strings":["School of Information Science and Technology, North China University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, North China University of Technology, Beijing, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080326895","display_name":"Feiran Jie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feiran Jie","raw_affiliation_strings":["Science and Technology on Electrooptic Control Laboratory, Luoyang, China"],"affiliations":[{"raw_affiliation_string":"Science and Technology on Electrooptic Control Laboratory, Luoyang, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027286013","display_name":"Xiangxiang Zeng","orcid":"https://orcid.org/0000-0001-6201-0114"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangxiang Zeng","raw_affiliation_strings":["College of Information Science and Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017961841","display_name":"Min Jiang","orcid":"https://orcid.org/0000-0003-2946-6974"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Jiang","raw_affiliation_strings":["School of Informatics, Xiamen University, Xiamen, China","Key Laboratory of Digital Protection and Intelligent Processing of Intangible Cultural Heritage of Fujian and Taiwan, Ministry of Culture and Tourism, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Key Laboratory of Digital Protection and Intelligent Processing of Intangible Cultural Heritage of Fujian and Taiwan, Ministry of Culture and Tourism, Xiamen, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5036950222"],"corresponding_institution_ids":["https://openalex.org/I75867142"],"apc_list":null,"apc_paid":null,"fwci":0.8274,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77934486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"35","issue":"4","first_page":"5684","last_page":"5694"},"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":0.9991000294685364,"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":0.9835000038146973,"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/embedding","display_name":"Embedding","score":0.7310041785240173},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.639418363571167},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.617492139339447},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5789408683776855},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5649162530899048},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5595459938049316},{"id":"https://openalex.org/keywords/random-walk","display_name":"Random walk","score":0.5306799411773682},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4558100402355194},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.43122628331184387},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.41563618183135986},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3999679684638977},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37828075885772705},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2978324294090271},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.14510470628738403}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7310041785240173},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.639418363571167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.617492139339447},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5789408683776855},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5649162530899048},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5595459938049316},{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.5306799411773682},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4558100402355194},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.43122628331184387},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.41563618183135986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3999679684638977},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37828075885772705},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2978324294090271},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.14510470628738403},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2022.3208914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3208914","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:36342997","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36342997","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1612661125","display_name":null,"funder_award_id":"2021JJ10020","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G230809083","display_name":null,"funder_award_id":"61972186","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2575303749","display_name":null,"funder_award_id":"2022J011275","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G3100921537","display_name":null,"funder_award_id":"2020JJ4215","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G4430803433","display_name":null,"funder_award_id":"61972138","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4479882814","display_name":null,"funder_award_id":"U21B2027","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5091875258","display_name":null,"funder_award_id":"61872309","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5477186794","display_name":null,"funder_award_id":"62122025","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5529347993","display_name":null,"funder_award_id":"62102140","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G607161736","display_name":null,"funder_award_id":"62076167","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8406165135","display_name":null,"funder_award_id":"62072386","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8879444097","display_name":null,"funder_award_id":"2020AAA0109700","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W5706645","https://openalex.org/W68132019","https://openalex.org/W1515851193","https://openalex.org/W1562724932","https://openalex.org/W1832693441","https://openalex.org/W1888005072","https://openalex.org/W1965830721","https://openalex.org/W2056782561","https://openalex.org/W2064675550","https://openalex.org/W2128217726","https://openalex.org/W2131342762","https://openalex.org/W2139906443","https://openalex.org/W2154851992","https://openalex.org/W2187089797","https://openalex.org/W2393319904","https://openalex.org/W2415243320","https://openalex.org/W2558460151","https://openalex.org/W2607500032","https://openalex.org/W2700550412","https://openalex.org/W2728059831","https://openalex.org/W2753953057","https://openalex.org/W2767849480","https://openalex.org/W2774837955","https://openalex.org/W2784318570","https://openalex.org/W2788284887","https://openalex.org/W2801306368","https://openalex.org/W2809418595","https://openalex.org/W2951105272","https://openalex.org/W2951626691","https://openalex.org/W2962756421","https://openalex.org/W2962975498","https://openalex.org/W2963084622","https://openalex.org/W2963169753","https://openalex.org/W2963410212","https://openalex.org/W2964093663","https://openalex.org/W2964268978","https://openalex.org/W2964331270","https://openalex.org/W2988237903","https://openalex.org/W3003265726","https://openalex.org/W3014559949","https://openalex.org/W3099387504","https://openalex.org/W3104097132","https://openalex.org/W3113595157","https://openalex.org/W3183749514","https://openalex.org/W4292691288","https://openalex.org/W4394643672","https://openalex.org/W6637178625","https://openalex.org/W6713582119","https://openalex.org/W6719270105","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6736685754","https://openalex.org/W6741832134","https://openalex.org/W6745537798","https://openalex.org/W6749578362","https://openalex.org/W6755573351","https://openalex.org/W6762867004","https://openalex.org/W6767032894","https://openalex.org/W6769589523","https://openalex.org/W6770199028","https://openalex.org/W6791426817"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W1597743604","https://openalex.org/W2380075625","https://openalex.org/W2038723108","https://openalex.org/W2033630974","https://openalex.org/W2037549926","https://openalex.org/W4399977844","https://openalex.org/W4245069437","https://openalex.org/W2325737604","https://openalex.org/W4297449606"],"abstract_inverted_index":{"Network":[0],"representation":[1,81],"learning,":[2],"also":[3],"known":[4],"as":[5,55,147],"network":[6,21,38,73,80,99,121,154],"embedding,":[7],"aims":[8],"to":[9,106],"learn":[10,124],"the":[11,20,26,34,60,71,108,112,132,136,152],"low-dimensional":[12],"representations":[13,126],"of":[14,36,111,144],"vertices":[15,35,65,113,137],"while":[16],"capturing":[17],"and":[18,42,90,122,168],"preserving":[19],"structure.":[22],"For":[23],"real-world":[24],"networks,":[25],"edges":[27,54],"that":[28,114,157],"represent":[29],"some":[30],"important":[31],"relationships":[32],"between":[33,63,135],"a":[37,67,78,98,120],"may":[39,43],"be":[40],"missed":[41],"result":[44],"in":[45,66],"degenerated":[46],"performance.":[47],"The":[48],"existing":[49],"methods":[50],"usually":[51],"treat":[52],"missing":[53],"negative":[56],"samples,":[57],"thereby":[58],"ignoring":[59],"true":[61,72],"connections":[62],"two":[64],"network.":[68],"To":[69],"capture":[70],"structure":[74],"effectively,":[75],"we":[76],"propose":[77],"novel":[79],"learning":[82],"method":[83],"called":[84],"WalkGAN,":[85],"where":[86],"random":[87,117],"walk":[88,118],"scheme":[89],"generative":[91],"adversarial":[92],"networks":[93],"(GAN)":[94],"are":[95,138],"incorporated":[96],"into":[97],"embedding":[100],"framework.":[101],"Specifically,":[102],"WalkGAN":[103,158],"leverages":[104],"GAN":[105],"generate":[107],"synthetic":[109],"sequences":[110],"sufficiently":[115],"simulate":[116],"on":[119,151],"further":[123],"vertex":[125,129,164],"from":[127],"these":[128],"sequences.":[130],"Thus,":[131],"unobserved":[133],"links":[134],"inferred":[139],"with":[140],"high":[141],"probability":[142],"instead":[143],"treating":[145],"them":[146],"nonexistence.":[148],"Experimental":[149],"results":[150],"benchmark":[153],"datasets":[155],"demonstrate":[156],"achieves":[159],"significant":[160],"performance":[161],"improvements":[162],"for":[163],"classification,":[165],"link":[166],"prediction,":[167],"visualization":[169],"tasks.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
