{"id":"https://openalex.org/W4414203916","doi":"https://doi.org/10.1145/3767156","title":"Dual-View Anomaly Detection in Heterogeneous Information Networks with Hierarchical Neighborhood Fusion","display_name":"Dual-View Anomaly Detection in Heterogeneous Information Networks with Hierarchical Neighborhood Fusion","publication_year":2025,"publication_date":"2025-09-15","ids":{"openalex":"https://openalex.org/W4414203916","doi":"https://doi.org/10.1145/3767156"},"language":"en","primary_location":{"id":"doi:10.1145/3767156","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3767156","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/A5030323127","display_name":"Xiangjie Kong","orcid":"https://orcid.org/0000-0003-2698-3319"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]},{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangjie Kong","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang\u00a0University of Technology, Hangzhou, China","Zhejiang University of Technology, China and Zhejiang Key Laboratory of Visual Information Intelligent Processing, China"],"raw_orcid":"https://orcid.org/0000-0003-2698-3319","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang\u00a0University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492","https://openalex.org/I168879160"]},{"raw_affiliation_string":"Zhejiang University of Technology, China and Zhejiang Key Laboratory of Visual Information Intelligent Processing, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074013468","display_name":"Siyue Shuai","orcid":null},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]},{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyue Shuai","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang\u00a0University of Technology, Hangzhou, China","Zhejiang University of Technology, China and Zhejiang Key Laboratory of Visual Information Intelligent Processing, China"],"raw_orcid":"https://orcid.org/0009-0009-7968-2406","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang\u00a0University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492","https://openalex.org/I168879160"]},{"raw_affiliation_string":"Zhejiang University of Technology, China and Zhejiang Key Laboratory of Visual Information Intelligent Processing, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100460879","display_name":"Hui Wang","orcid":"https://orcid.org/0000-0003-0498-2462"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Wang","raw_affiliation_strings":["School of Software, Dalian University of Technology, Dalian, China","Dalian University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0003-0498-2462","affiliations":[{"raw_affiliation_string":"School of Software, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048752035","display_name":"Guojiang Shen","orcid":"https://orcid.org/0000-0003-1064-1250"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guojiang Shen","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","Zhejiang University of Technology, China and Zhejiang Key Laboratory of Visual Information Intelligent Processing, China"],"raw_orcid":"https://orcid.org/0000-0003-1064-1250","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"Zhejiang University of Technology, China and Zhejiang Key Laboratory of Visual Information Intelligent Processing, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089615958","display_name":"Feng Xia","orcid":"https://orcid.org/0000-0002-8324-1859"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Feng Xia","raw_affiliation_strings":["School of Computing Technologies, RMIT University, Melbourne, Australia","Royal Melbourne Institute of Technology University, Australia"],"raw_orcid":"https://orcid.org/0000-0002-8324-1859","affiliations":[{"raw_affiliation_string":"School of Computing Technologies, RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]},{"raw_affiliation_string":"Royal Melbourne Institute of Technology University, Australia","institution_ids":["https://openalex.org/I82951845"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8777,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.88296826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"19","issue":"9","first_page":"1","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998000264167786,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9995999932289124,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.680899977684021},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6137999892234802},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5625},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.5110999941825867},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.46459999680519104},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4343999922275543},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.42010000348091125},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.36890000104904175},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35109999775886536}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7741000056266785},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.680899977684021},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6137999892234802},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5625},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.5110999941825867},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.46459999680519104},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4607999920845032},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4343999922275543},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.42010000348091125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40700000524520874},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.36890000104904175},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3513000011444092},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35109999775886536},{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.3490000069141388},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.32820001244544983},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.32749998569488525},{"id":"https://openalex.org/C2778971668","wikidata":"https://www.wikidata.org/wiki/Q5510284","display_name":"Fusion rules","level":4,"score":0.32710000872612},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.3176000118255615},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.2712000012397766},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.26249998807907104},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C197914299","wikidata":"https://www.wikidata.org/wiki/Q18650","display_name":"Semantic memory","level":3,"score":0.25850000977516174},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.25429999828338623},{"id":"https://openalex.org/C2988416141","wikidata":"https://www.wikidata.org/wiki/Q6031139","display_name":"Information loss","level":2,"score":0.2535000145435333},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3767156","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3767156","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":[],"awards":[{"id":"https://openalex.org/G3267229679","display_name":null,"funder_award_id":"LR21F020003","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G6826257432","display_name":null,"funder_award_id":"62476247, 62073295, and 62072409","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/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W1602136775","https://openalex.org/W2134255060","https://openalex.org/W2488133945","https://openalex.org/W2595233870","https://openalex.org/W2740454492","https://openalex.org/W2743104969","https://openalex.org/W2767774008","https://openalex.org/W2770250693","https://openalex.org/W2792485195","https://openalex.org/W2896161497","https://openalex.org/W2911286998","https://openalex.org/W2944250323","https://openalex.org/W2963707260","https://openalex.org/W2982200221","https://openalex.org/W3015799890","https://openalex.org/W3045266989","https://openalex.org/W3081295916","https://openalex.org/W3093664513","https://openalex.org/W3114303065","https://openalex.org/W3130808434","https://openalex.org/W3133518153","https://openalex.org/W3134210100","https://openalex.org/W3134886264","https://openalex.org/W3137933686","https://openalex.org/W3140399761","https://openalex.org/W3152796751","https://openalex.org/W3156449551","https://openalex.org/W3172503809","https://openalex.org/W3173151551","https://openalex.org/W3175971420","https://openalex.org/W3206326321","https://openalex.org/W3206604724","https://openalex.org/W3210350882","https://openalex.org/W3215556681","https://openalex.org/W3217753387","https://openalex.org/W4206633947","https://openalex.org/W4210988752","https://openalex.org/W4221136088","https://openalex.org/W4226450929","https://openalex.org/W4234842379","https://openalex.org/W4237977885","https://openalex.org/W4281955767","https://openalex.org/W4285612255","https://openalex.org/W4290877309","https://openalex.org/W4293704747","https://openalex.org/W4306317368","https://openalex.org/W4309326938","https://openalex.org/W4322494725","https://openalex.org/W4322706754","https://openalex.org/W4362653719","https://openalex.org/W4381786121","https://openalex.org/W4384832026","https://openalex.org/W4385562644","https://openalex.org/W4385838249","https://openalex.org/W4386001640","https://openalex.org/W4391514872","https://openalex.org/W4392901724","https://openalex.org/W4392902565","https://openalex.org/W4393241226","https://openalex.org/W4393285673","https://openalex.org/W4394862701","https://openalex.org/W4399576831","https://openalex.org/W4399702413","https://openalex.org/W4399849661","https://openalex.org/W4400317755","https://openalex.org/W4401502924","https://openalex.org/W4401856724"],"related_works":[],"abstract_inverted_index":{"The":[0],"primary":[1],"objective":[2],"of":[3,65,85,185],"graph":[4],"node":[5],"anomaly":[6,186],"detection":[7],"is":[8,196],"to":[9,28,42,62,74,105,146,165],"pinpoint":[10],"rare":[11],"patterns":[12],"that":[13,114,192],"display":[14],"marked":[15],"deviations":[16],"from":[17,72,123],"the":[18,63,70,125,130,167,176,183,193],"typical":[19],"one.":[20],"Existing":[21],"methods":[22],"utilize":[23],"Graph":[24],"Convolutional":[25],"Networks":[26,35],"(GCNs)":[27],"model":[29],"complex":[30],"interactions":[31],"in":[32,81,152],"Heterogeneous":[33],"Information":[34],"(HINs),":[36],"typically":[37],"homogenizing":[38],"HINs":[39],"using":[40],"meta-paths":[41,50],"effectively":[43],"focus":[44],"on":[45,58,178,200],"particular":[46],"semantic":[47,120,144],"scenarios.":[48],"However,":[49],"excessively":[51],"emphasize":[52],"specific":[53],"nodes":[54],"and":[55,129,143,149,163,171,181,198],"their":[56],"connections":[57],"predefined":[59],"paths,":[60],"leading":[61],"neglect":[64],"one-hop":[66,126,148],"context-rich":[67],"neighbors.":[68],"Furthermore,":[69],"conversion":[71],"heterogeneous":[73],"homogeneous":[75],"structures":[76],"disrupts":[77],"inherent":[78],"relationships,":[79],"resulting":[80],"an":[82],"irreversible":[83],"loss":[84],"direct":[86],"links.":[87],"Thus,":[88],"we":[89,189],"propose":[90],"a":[91,111,153],"dual-view-based":[92],"H":[93],"eterogeneous":[94],"I":[95],"nformation":[96],"N":[97],"etworks":[98],"Node":[99],"Ano":[100],"maly":[101],"Detection":[102],"framework,":[103],"HINAno,":[104],"mitigate":[106],"structural":[107,117],"loss.":[108],"HINAno":[109,158,194],"adopts":[110,159],"synergetic":[112],"approach":[113],"balances":[115],"local":[116],"information":[118],"with":[119],"richness,":[121],"drawing":[122],"both":[124],"neighbor":[127],"view":[128],"meta-path":[131],"view.":[132],"Specifically,":[133],"this":[134],"dual-view":[135],"utilizes":[136],"hierarchical":[137],"fusion":[138],"mechanisms":[139],"at":[140],"node,":[141],"type,":[142],"levels":[145],"capture":[147],"multi-hop":[150],"neighborhoods":[151],"level-wise":[154],"manner.":[155],"In":[156],"addition,":[157],"self-supervised":[160],"contrastive":[161],"learning":[162],"GCNs":[164],"amplify":[166],"gap":[168],"between":[169],"normal":[170],"abnormal":[172],"nodes,":[173],"thereby":[174],"reducing":[175],"reliance":[177],"anomalous":[179],"labels":[180],"enhancing":[182],"capability":[184],"detection.":[187],"Finally,":[188],"successfully":[190],"verify":[191],"framework":[195],"effective":[197],"superior":[199],"four":[201],"real-world":[202],"datasets.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}