{"id":"https://openalex.org/W4402351722","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650001","title":"Semi-supervised Graph Anomaly Detection via Multi-view Contrastive Learning","display_name":"Semi-supervised Graph Anomaly Detection via Multi-view Contrastive Learning","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402351722","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650001"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5028679106","display_name":"Hengji Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hengji Dong","raw_affiliation_strings":["Harbin Institute of Technology,Harbin,China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070851446","display_name":"J. Zhao","orcid":"https://orcid.org/0000-0001-6408-2314"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Zhao","raw_affiliation_strings":["Harbin Institute of Technology,Harbin,China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107922657","display_name":"Hongwei Yang","orcid":"https://orcid.org/0000-0002-9071-4204"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongwei Yang","raw_affiliation_strings":["Harbin Institute of Technology,Harbin,China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048182595","display_name":"Hui He","orcid":"https://orcid.org/0000-0002-6494-775X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui He","raw_affiliation_strings":["Harbin Institute of Technology,Harbin,China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100781212","display_name":"Jun Zhou","orcid":"https://orcid.org/0000-0001-5822-8233"},"institutions":[{"id":"https://openalex.org/I4210117493","display_name":"New Development Bank","ror":"https://ror.org/01rdcx205","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210117493"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhou","raw_affiliation_strings":["Shanghai Pudong Development Bank,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Pudong Development Bank,Shanghai,China","institution_ids":["https://openalex.org/I4210117493"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102234902","display_name":"Yunqing Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117493","display_name":"New Development Bank","ror":"https://ror.org/01rdcx205","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210117493"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunqing Feng","raw_affiliation_strings":["Shanghai Pudong Development Bank,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Pudong Development Bank,Shanghai,China","institution_ids":["https://openalex.org/I4210117493"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108982260","display_name":"Yangyiye Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117493","display_name":"New Development Bank","ror":"https://ror.org/01rdcx205","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210117493"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangyiye Jin","raw_affiliation_strings":["Shanghai Pudong Development Bank,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Pudong Development Bank,Shanghai,China","institution_ids":["https://openalex.org/I4210117493"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101242843","display_name":"Rui Liu","orcid":"https://orcid.org/0009-0002-1456-5283"},"institutions":[{"id":"https://openalex.org/I4210117493","display_name":"New Development Bank","ror":"https://ror.org/01rdcx205","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210117493"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Liu","raw_affiliation_strings":["Shanghai Pudong Development Bank,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Pudong Development Bank,Shanghai,China","institution_ids":["https://openalex.org/I4210117493"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037857879","display_name":"Mengge Wang","orcid":"https://orcid.org/0000-0002-3673-1855"},"institutions":[{"id":"https://openalex.org/I4210117493","display_name":"New Development Bank","ror":"https://ror.org/01rdcx205","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210117493"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengge Wang","raw_affiliation_strings":["Shanghai Pudong Development Bank,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Pudong Development Bank,Shanghai,China","institution_ids":["https://openalex.org/I4210117493"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5028679106"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.3637,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66477473,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","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/T11512","display_name":"Anomaly Detection Techniques and Applications","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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12127","display_name":"Software System Performance and Reliability","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7072579860687256},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6171034574508667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5502148866653442},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5356571078300476},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32251933217048645},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2067687213420868}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7072579860687256},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6171034574508667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5502148866653442},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5356571078300476},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32251933217048645},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2067687213420868}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2144182447","https://openalex.org/W2808544127","https://openalex.org/W2944250323","https://openalex.org/W2965683718","https://openalex.org/W3006399446","https://openalex.org/W3034094436","https://openalex.org/W3036446966","https://openalex.org/W3093649180","https://openalex.org/W3093664513","https://openalex.org/W3099152386","https://openalex.org/W3105757720","https://openalex.org/W3133518153","https://openalex.org/W3135509220","https://openalex.org/W3152507776","https://openalex.org/W3156449551","https://openalex.org/W4285066127","https://openalex.org/W4312961412","https://openalex.org/W4385482706","https://openalex.org/W6756561102","https://openalex.org/W6760001035","https://openalex.org/W6761820864","https://openalex.org/W6779940601","https://openalex.org/W6791639162","https://openalex.org/W6809590886","https://openalex.org/W6811237194","https://openalex.org/W6838610016","https://openalex.org/W6846266145"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Graph":[0],"anomaly":[1,154,177],"detection":[2,101,178],"aims":[3],"to":[4,32,99,119,138],"identify":[5],"the":[6,15,33,58,62,121,134,139,144,148,153],"abnormal":[7,129],"nodes":[8],"in":[9,22],"a":[10,78],"graph":[11,84],"that":[12,136,171],"deviate":[13],"from":[14,44],"majority":[16],"of":[17,36,57],"nodes,":[18,69,130],"which":[19,94],"is":[20],"critical":[21],"fields":[23],"such":[24],"as":[25,131,133],"finance":[26],"and":[27,67,116,128,147,159],"social":[28],"network":[29],"analysis.":[30],"Due":[31],"unbearable":[34],"costs":[35],"labeling":[37],"anomalies,":[38],"existing":[39],"methods":[40,52],"are":[41],"mainly":[42],"tackled":[43],"unsupervised":[45],"or":[46,60],"semi-supervised":[47],"manners.":[48],"Unfortunately,":[49],"most":[50],"proposed":[51],"either":[53],"lack":[54],"prior":[55],"knowledge":[56],"anomalies":[59],"neglect":[61],"potential":[63],"relation":[64],"between":[65,126],"labeled":[66,184],"unlabeled":[68],"with":[70,123,182],"limited":[71],"improvement.":[72],"In":[73],"this":[74],"paper,":[75],"we":[76,106,150],"propose":[77],"novel":[79],"Semi-supervised":[80],"learning":[81],"framework":[82],"for":[83,92,156],"Anomaly":[85],"Detection":[86],"via":[87],"Multi-view":[88],"Contrastive":[89],"Learning":[90],"(SADMCL":[91],"abbreviation),":[93],"uses":[95],"very":[96],"few":[97,183],"labels":[98],"promote":[100],"performance.":[102],"To":[103],"be":[104],"specific,":[105],"employ":[107],"multi-view":[108],"contrastive":[109],"learning,":[110],"i.e.,":[111],"sample-sample":[112],"contrast,":[113,115,118],"sample-instance":[114],"normal-anomaly":[117],"generate":[120],"representations":[122,146],"significant":[124],"discrimination":[125],"normal":[127,140],"well":[132],"instances":[135],"respond":[137],"features.":[141],"By":[142],"comparing":[143],"learned":[145],"instances,":[149],"comprehensively":[151],"calculate":[152],"score":[155],"each":[157],"node":[158],"infer":[160],"its":[161],"label.":[162],"Extensive":[163],"experiments":[164],"conducted":[165],"on":[166],"four":[167],"real-world":[168],"datasets":[169],"demonstrate":[170],"our":[172],"approach":[173],"outperforms":[174],"current":[175],"state-of-the-art":[176],"algorithms":[179],"when":[180],"provided":[181],"samples.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}