{"id":"https://openalex.org/W4394932151","doi":"https://doi.org/10.3390/s24082591","title":"Improving Graph Convolutional Network with Learnable Edge Weights and Edge-Node Co-Embedding for Graph Anomaly Detection","display_name":"Improving Graph Convolutional Network with Learnable Edge Weights and Edge-Node Co-Embedding for Graph Anomaly Detection","publication_year":2024,"publication_date":"2024-04-18","ids":{"openalex":"https://openalex.org/W4394932151","doi":"https://doi.org/10.3390/s24082591","pmid":"https://pubmed.ncbi.nlm.nih.gov/38676208"},"language":"en","primary_location":{"id":"doi:10.3390/s24082591","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24082591","pdf_url":"https://www.mdpi.com/1424-8220/24/8/2591/pdf?version=1713438941","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/8/2591/pdf?version=1713438941","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036923376","display_name":"Xaoyu Tan","orcid":"https://orcid.org/0000-0002-8869-3344"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Tan","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan 430072, China","School of Electronic Information, Wuhan University, Wuhan 430072, China;"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan 430072, China;","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034580864","display_name":"Jianfeng Yang","orcid":"https://orcid.org/0000-0003-2002-9073"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianfeng Yang","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan 430072, China","School of Electronic Information, Wuhan University, Wuhan 430072, China;"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan 430072, China;","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103247632","display_name":"Zhengang Zhao","orcid":"https://orcid.org/0000-0003-1482-5276"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"education","lineage":["https://openalex.org/I308837"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengang Zhao","raw_affiliation_strings":["School of Software Engineering, University of Science and Technology of China, Suzhou 215123, China","School of Software Engineering, University of Science and Technology of China, Suzhou 215123, China;"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, University of Science and Technology of China, Suzhou 215123, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"School of Software Engineering, University of Science and Technology of China, Suzhou 215123, China;","institution_ids":["https://openalex.org/I308837","https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085306541","display_name":"Jinsheng Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinsheng Xiao","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan 430072, China","School of Electronic Information, Wuhan University, Wuhan 430072, China;"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan 430072, China;","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113181787","display_name":"Chengwang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengwang Li","raw_affiliation_strings":["College of Sciences, China Jiliang University, Hangzhou 310018, China","College of Sciences, China Jiliang University, Hangzhou 310018, China;"],"affiliations":[{"raw_affiliation_string":"College of Sciences, China Jiliang University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I55538621"]},{"raw_affiliation_string":"College of Sciences, China Jiliang University, Hangzhou 310018, China;","institution_ids":["https://openalex.org/I55538621"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5034580864"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.6904,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85806869,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"24","issue":"8","first_page":"2591","last_page":"2591"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9955999851226807,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.991599977016449,"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":0.6766511797904968},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6062644720077515},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5030390620231628},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.502277135848999},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.48621001839637756},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.48044511675834656},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4383585453033447},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4209098815917969},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4021710753440857},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.365492045879364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28454434871673584},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08186471462249756}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6766511797904968},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6062644720077515},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5030390620231628},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.502277135848999},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.48621001839637756},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.48044511675834656},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4383585453033447},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4209098815917969},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4021710753440857},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.365492045879364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28454434871673584},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08186471462249756},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s24082591","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24082591","pdf_url":"https://www.mdpi.com/1424-8220/24/8/2591/pdf?version=1713438941","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:38676208","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38676208","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11053465","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11053465","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11053465/pdf/sensors-24-02591.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:6367a72fe54648fdbf2ec9994406bc93","is_oa":true,"landing_page_url":"https://doaj.org/article/6367a72fe54648fdbf2ec9994406bc93","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 8, p 2591 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24082591","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24082591","pdf_url":"https://www.mdpi.com/1424-8220/24/8/2591/pdf?version=1713438941","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4394932151.pdf"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1630959083","https://openalex.org/W2089554624","https://openalex.org/W2393319904","https://openalex.org/W2519887557","https://openalex.org/W2597603852","https://openalex.org/W2604314403","https://openalex.org/W2624431344","https://openalex.org/W2804057010","https://openalex.org/W2807021761","https://openalex.org/W2897862648","https://openalex.org/W2911286998","https://openalex.org/W2944250323","https://openalex.org/W2962756421","https://openalex.org/W2963911286","https://openalex.org/W2984353870","https://openalex.org/W3016757214","https://openalex.org/W3021294679","https://openalex.org/W3031913912","https://openalex.org/W3034482186","https://openalex.org/W3068123808","https://openalex.org/W3093002101","https://openalex.org/W3097264851","https://openalex.org/W3100848837","https://openalex.org/W3102969158","https://openalex.org/W3153567752","https://openalex.org/W3187966659","https://openalex.org/W3206604724","https://openalex.org/W3217672792","https://openalex.org/W4206925842","https://openalex.org/W4232533539","https://openalex.org/W4285029217","https://openalex.org/W4293195719","https://openalex.org/W4293519336","https://openalex.org/W4308588518","https://openalex.org/W4321238599","https://openalex.org/W6624343464","https://openalex.org/W6805143542","https://openalex.org/W6848808084"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2345479200","https://openalex.org/W2183306018","https://openalex.org/W2849310602","https://openalex.org/W3006008237","https://openalex.org/W2419146053","https://openalex.org/W4388890789","https://openalex.org/W2088247287","https://openalex.org/W2963903416","https://openalex.org/W4313153715"],"abstract_inverted_index":{"The":[0,31],"era":[1],"of":[2,28,33,52,68,86,108,234,249],"Industry":[3],"4.0":[4],"is":[5,35,91],"gradually":[6],"transforming":[7],"our":[8],"society":[9],"into":[10,166,184,208],"a":[11,144,159,172],"data-driven":[12],"one,":[13],"which":[14],"can":[15,141],"help":[16],"us":[17],"uncover":[18],"valuable":[19],"information":[20,109,165,183],"from":[21],"accumulated":[22],"data,":[23],"thereby":[24,180],"improving":[25],"the":[26,50,55,66,69,95,111,126,136,218,230,235,243],"level":[27],"social":[29],"governance.":[30],"detection":[32],"anomalies,":[34],"crucial":[36],"for":[37,148,161,194],"maintaining":[38],"societal":[39],"trust":[40],"and":[41,54,99,119,131,153,177,197,232],"fairness,":[42],"yet":[43],"it":[44],"poses":[45],"significant":[46],"challenges":[47],"due":[48],"to":[49,64,174,205,226],"ubiquity":[51],"anomalies":[53],"difficulty":[56],"in":[57,110,151,238,242],"identifying":[58],"them":[59],"accurately.":[60],"This":[61,89,200],"paper":[62],"aims":[63],"enhance":[65],"performance":[67,224],"current":[70],"Graph":[71,75],"Convolutional":[72],"Network":[73],"(GCN)-based":[74],"Anomaly":[76],"Detection":[77],"(GAD)":[78],"algorithm":[79],"on":[80,217],"datasets":[81],"with":[82,245],"extremely":[83,246],"low":[84,247],"proportions":[85,248],"anomalous":[87,250],"labels.":[88],"goal":[90],"achieved":[92],"through":[93],"modifying":[94],"GCN":[96,167,185,191],"network":[97],"structure":[98],"conducting":[100],"feature":[101,117,132],"extraction,":[102],"thus":[103],"fully":[104],"utilizing":[105],"three":[106],"types":[107],"graph:":[112],"node":[113,116,163,176,195],"label":[114,129,164],"information,":[115,118],"edge":[120,156,178,182],"information.":[121],"Firstly,":[122],"we":[123,170,188],"theoretically":[124],"demonstrate":[125,221],"relationship":[127],"between":[128],"propagation":[130],"convolution,":[133],"indicating":[134],"that":[135],"Label":[137],"Propagation":[138],"Algorithm":[139],"(LPA)":[140],"serve":[142],"as":[143],"regularization":[145],"penalty":[146],"term":[147],"GCN,":[149],"aiding":[150],"training":[152],"enabling":[154],"learnable":[155],"weights,":[157],"providing":[158],"basis":[160],"incorporating":[162,181],"networks.":[168,186],"Secondly,":[169],"introduce":[171],"method":[173],"aggregate":[175],"features,":[179],"Finally,":[187],"design":[189,201],"different":[190,203,209],"trainable":[192],"weights":[193],"features":[196,204],"co-embedding":[198],"features.":[199],"allows":[202],"be":[206],"projected":[207],"spaces,":[210],"greatly":[211],"enhancing":[212],"model":[213],"expressiveness.":[214],"Experimental":[215],"results":[216],"DGraph":[219],"dataset":[220],"superior":[222],"AUC":[223],"compared":[225],"baseline":[227],"models,":[228],"highlighting":[229],"feasibility":[231],"efficacy":[233],"proposed":[236],"approach":[237],"addressing":[239],"GAD":[240],"tasks":[241],"scene":[244],"data.":[251]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
