{"id":"https://openalex.org/W4401863459","doi":"https://doi.org/10.1145/3637528.3672050","title":"Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-level Anomaly Detection","display_name":"Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-level Anomaly Detection","publication_year":2024,"publication_date":"2024-08-24","ids":{"openalex":"https://openalex.org/W4401863459","doi":"https://doi.org/10.1145/3637528.3672050"},"language":"en","primary_location":{"id":"doi:10.1145/3637528.3672050","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637528.3672050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2407.13251","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108053370","display_name":"Chunjing Xiao","orcid":"https://orcid.org/0000-0001-8339-1278"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunjing Xiao","raw_affiliation_strings":["Henan University, Kaifeng, China"],"raw_orcid":"https://orcid.org/0000-0001-8339-1278","affiliations":[{"raw_affiliation_string":"Henan University, Kaifeng, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059264688","display_name":"S.K. Pang","orcid":"https://orcid.org/0009-0007-6983-9719"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shikang Pang","raw_affiliation_strings":["Henan University, Kaifeng, China"],"raw_orcid":"https://orcid.org/0009-0007-6983-9719","affiliations":[{"raw_affiliation_string":"Henan University, Kaifeng, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090741164","display_name":"Wenxin Tai","orcid":"https://orcid.org/0000-0001-7364-8324"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxin Tai","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-7364-8324","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yanlong Huang","orcid":"https://orcid.org/0009-0001-8900-8564"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanlong Huang","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0001-8900-8564","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086447943","display_name":"Goce Trajcevski","orcid":"https://orcid.org/0000-0002-8839-6278"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Goce Trajcevski","raw_affiliation_strings":["Iowa State University, Ames, IA, USA"],"raw_orcid":"https://orcid.org/0000-0002-8839-6278","affiliations":[{"raw_affiliation_string":"Iowa State University, Ames, IA, USA","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100403505","display_name":"Fan Zhou","orcid":"https://orcid.org/0000-0002-8038-8150"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Zhou","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-8038-8150","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3518","last_page":"3526"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9955000281333923,"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":0.9912999868392944,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5781428217887878},{"id":"https://openalex.org/keywords/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.5697030425071716},{"id":"https://openalex.org/keywords/counterfactual-conditional","display_name":"Counterfactual conditional","score":0.5489374995231628},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5239037275314331},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4306381046772003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3642579913139343}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5781428217887878},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.5697030425071716},{"id":"https://openalex.org/C71889745","wikidata":"https://www.wikidata.org/wiki/Q1783264","display_name":"Counterfactual conditional","level":3,"score":0.5489374995231628},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5239037275314331},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4306381046772003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3642579913139343},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3637528.3672050","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637528.3672050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2407.13251","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.13251","pdf_url":"https://arxiv.org/pdf/2407.13251","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2407.13251","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.13251","pdf_url":"https://arxiv.org/pdf/2407.13251","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401863459.pdf"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W273178449","https://openalex.org/W2032280284","https://openalex.org/W2082734581","https://openalex.org/W2089554624","https://openalex.org/W2284900416","https://openalex.org/W2896525927","https://openalex.org/W2944250323","https://openalex.org/W2951086007","https://openalex.org/W2966841471","https://openalex.org/W2999639431","https://openalex.org/W3026235644","https://openalex.org/W3093737498","https://openalex.org/W3114932221","https://openalex.org/W3176131793","https://openalex.org/W3202933889","https://openalex.org/W3203701711","https://openalex.org/W3206604724","https://openalex.org/W3214404698","https://openalex.org/W4213224406","https://openalex.org/W4225163171","https://openalex.org/W4309326938","https://openalex.org/W4311079930","https://openalex.org/W4312780623","https://openalex.org/W4320828694","https://openalex.org/W4322706754","https://openalex.org/W4367047402","https://openalex.org/W4368232640","https://openalex.org/W4382239148","https://openalex.org/W4385562582","https://openalex.org/W4385562644","https://openalex.org/W4385568076","https://openalex.org/W4385568285","https://openalex.org/W4385568390","https://openalex.org/W4385569878","https://openalex.org/W4386798100","https://openalex.org/W4388341480","https://openalex.org/W4396723396"],"related_works":["https://openalex.org/W2056582926","https://openalex.org/W3137864021","https://openalex.org/W2162910442","https://openalex.org/W2079879923","https://openalex.org/W4200271736","https://openalex.org/W3017854570","https://openalex.org/W2104420793","https://openalex.org/W2028689793","https://openalex.org/W4313936361","https://openalex.org/W4242448314"],"abstract_inverted_index":{"Graph-level":[0],"anomaly":[1,77],"detection":[2,10],"is":[3],"significant":[4],"in":[5,57],"diverse":[6],"domains.":[7],"To":[8,60],"improve":[9],"performance,":[11],"counterfactual":[12,37,107,122,144,225],"graphs":[13,156,179],"have":[14],"been":[15],"exploited":[16],"to":[17,35,42,103,140,150,154,158,172,180,200,210],"benefit":[18],"the":[19,44,53,82,87,91,96,110,120,142,148,152,163,169,174,177,184,188,194,202,206,212,220,229],"generalization":[20],"capacity":[21],"by":[22],"learning":[23],"causal":[24],"relations.":[25],"Most":[26],"existing":[27],"studies":[28],"directly":[29],"introduce":[30],"perturbations":[31],"(e.g.,":[32],"flipping":[33],"edges)":[34],"generate":[36,155,223],"graphs,":[38,186],"which":[39],"are":[40],"prone":[41],"alter":[43],"semantics":[45],"of":[46,84,100,176,231],"generated":[47,178],"examples":[48],"and":[49,95,117,127,197,205,215],"make":[50],"them":[51],"off":[52],"data":[54],"manifold,":[55],"resulting":[56],"sub-optimal":[58],"performance.":[59],"address":[61],"these":[62],"issues,":[63],"we":[64,131,167,192],"propose":[65],"a":[66,105,133,218],"novel":[67],"approach,":[68],"Motif-consistent":[69],"Counterfactuals":[70],"with":[71,183],"Adversarial":[72,135],"Refinement":[73],"(MotifCAR),":[74],"for":[75],"graph-level":[76],"detection.":[78],"The":[79],"model":[80,221],"combines":[81],"motif":[83,170,175],"one":[85],"graph,":[86],"core":[88],"subgraph":[89,98,204],"containing":[90],"identification":[92],"(category)":[93],"information,":[94],"contextual":[97,195,203],"(non-motif)":[99],"another":[101],"graph":[102,113,138],"produce":[104],"raw":[106,112,143],"graph.":[108],"However,":[109],"produced":[111],"might":[114],"be":[115,181],"distorted":[116],"cannot":[118],"satisfy":[119],"important":[121],"properties:":[123],"Realism,":[124],"Validity,":[125],"Proximity":[126,214],"Sparsity.":[128,216],"Towards":[129],"that,":[130],"present":[132],"Generative":[134],"Network":[136],"(GAN)-based":[137],"optimizer":[139],"refine":[141],"graphs.":[145,226],"It":[146],"adopts":[147],"discriminator":[149],"guide":[151],"generator":[153],"close":[157],"realistic":[159,185],"data,":[160],"i.e.,":[161],"meet":[162,211],"property":[164,189],"Realism.":[165],"Further,":[166],"design":[168],"consistency":[171],"force":[173],"consistent":[182],"meeting":[187],"Validity.":[190],"Also,":[191],"devise":[193],"loss":[196,199],"connection":[198],"control":[201],"newly":[207],"added":[208],"links":[209],"properties":[213],"As":[217],"result,":[219],"can":[222],"high-quality":[224],"Experiments":[227],"demonstrate":[228],"superiority":[230],"MotifCAR.":[232]},"counts_by_year":[{"year":2025,"cited_by_count":5}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}