{"id":"https://openalex.org/W4412610563","doi":"https://doi.org/10.1109/hpcc64274.2024.00184","title":"UM-Explainer: An Explainability Method for Unsupervised Models Based on Factual and Counterfactual Reasoning","display_name":"UM-Explainer: An Explainability Method for Unsupervised Models Based on Factual and Counterfactual Reasoning","publication_year":2024,"publication_date":"2024-12-13","ids":{"openalex":"https://openalex.org/W4412610563","doi":"https://doi.org/10.1109/hpcc64274.2024.00184"},"language":"en","primary_location":{"id":"doi:10.1109/hpcc64274.2024.00184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcc64274.2024.00184","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on High Performance Computing and Communications (HPCC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5111799698","display_name":"Jing Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Tan","raw_affiliation_strings":["Guangxi Normal University,Key Lab of Education Blockchain and Intelligent Technology, Ministry of Education,Guilin,China,541004"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Normal University,Key Lab of Education Blockchain and Intelligent Technology, Ministry of Education,Guilin,China,541004","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091137864","display_name":"Qiyu Li","orcid":"https://orcid.org/0009-0004-5174-9844"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiyu Li","raw_affiliation_strings":["Guangxi Normal University,School of Computer Science and Engineering,Guilin,China,541004"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Normal University,School of Computer Science and Engineering,Guilin,China,541004","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015957059","display_name":"Linlin Su","orcid":"https://orcid.org/0000-0002-7727-9607"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linlin Su","raw_affiliation_strings":["Guangxi Normal University,School of Computer Science and Engineering,Guilin,China,541004"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Normal University,School of Computer Science and Engineering,Guilin,China,541004","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033856350","display_name":"Huijiang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huijiang Wang","raw_affiliation_strings":["Guangxi Normal University,School of Computer Science and Engineering,Guilin,China,541004"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Normal University,School of Computer Science and Engineering,Guilin,China,541004","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100639418","display_name":"Jinyan Wang","orcid":"https://orcid.org/0000-0001-6641-9371"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyan Wang","raw_affiliation_strings":["Guangxi Normal University,Key Lab of Education Blockchain and Intelligent Technology, Ministry of Education,Guilin,China,541004"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Normal University,Key Lab of Education Blockchain and Intelligent Technology, Ministry of Education,Guilin,China,541004","institution_ids":["https://openalex.org/I29739308"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I29739308"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35586809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1378","last_page":"1385"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9850999712944031,"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/T10028","display_name":"Topic Modeling","score":0.9850999712944031,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9599000215530396,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9508000016212463,"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/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.9440051317214966},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5897590517997742},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40403616428375244},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.18893206119537354},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.055754125118255615}],"concepts":[{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.9440051317214966},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5897590517997742},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40403616428375244},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18893206119537354},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.055754125118255615}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpcc64274.2024.00184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcc64274.2024.00184","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on High Performance Computing and Communications (HPCC)","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W2034618876","https://openalex.org/W2054141820","https://openalex.org/W2056562706","https://openalex.org/W2108643617","https://openalex.org/W2808923352","https://openalex.org/W2962756421","https://openalex.org/W2979481854","https://openalex.org/W2983269435","https://openalex.org/W2983721890","https://openalex.org/W2984171177","https://openalex.org/W3000120900","https://openalex.org/W3033892090","https://openalex.org/W3108823960","https://openalex.org/W3116637551","https://openalex.org/W3184370740","https://openalex.org/W3203241679","https://openalex.org/W4224309172","https://openalex.org/W4225977739","https://openalex.org/W4315642099","https://openalex.org/W4365205344","https://openalex.org/W6726873649","https://openalex.org/W6738964360","https://openalex.org/W6754929296","https://openalex.org/W6755573351","https://openalex.org/W6760045743","https://openalex.org/W6763140224","https://openalex.org/W6767288045","https://openalex.org/W6779518175","https://openalex.org/W6784653527","https://openalex.org/W6786048916","https://openalex.org/W6789391898","https://openalex.org/W6798660213","https://openalex.org/W6803276269","https://openalex.org/W6810948967","https://openalex.org/W6811125573","https://openalex.org/W6840573628","https://openalex.org/W6843289217","https://openalex.org/W6848536119","https://openalex.org/W6865947657"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3201448254","https://openalex.org/W4286970243","https://openalex.org/W2066431708","https://openalex.org/W4384133558","https://openalex.org/W3025615835","https://openalex.org/W173210993","https://openalex.org/W2390660599"],"abstract_inverted_index":{"Graph":[0],"neural":[1],"networks":[2],"(GNNs)":[3],"have":[4,14,53],"shown":[5],"significant":[6],"advantages":[7],"in":[8,21,36,92,184],"learning":[9,30,51,63],"structured":[10],"data":[11],"representations":[12],"and":[13,121,131,144,170],"become":[15],"one":[16],"of":[17,28,42,163],"the":[18,25,40,126,132,151,161],"important":[19],"methods":[20,70],"machine":[22],"learning.":[23],"However,":[24],"inherent":[26],"opacity":[27],"deep":[29],"models":[31,52,64,73],"hinders":[32],"their":[33],"widespread":[34],"application":[35],"critical":[37],"domains,":[38],"making":[39],"explanation":[41,69,109],"GNNs":[43],"predictions":[44],"particularly":[45],"crucial.":[46],"While":[47],"explanations":[48,60,93],"for":[49,61,71,111],"supervised":[50],"been":[54],"extensively":[55],"studied,":[56],"research":[57],"on":[58,76,85,119,141,173],"generating":[59,154,185],"unsupervised":[62,72,175],"remains":[65],"relatively":[66],"scarce.":[67],"Current":[68],"mostly":[74],"focus":[75],"either":[77,96],"factual":[78,120,143],"reasoning":[79,88,146],"or":[80,98],"counterfactual":[81,145],"reasoning.":[82,123],"But":[83],"relying":[84],"a":[86,107,137],"single":[87],"approach":[89],"often":[90],"results":[91,178],"that":[94,180],"are":[95],"redundant":[97],"incomplete.":[99],"To":[100,159],"address":[101],"this":[102,104],"challenge,":[103],"paper":[105],"proposes":[106],"novel":[108],"method":[110],"Unsupervised":[112],"Models":[113],"named":[114],"UM-Explainer,":[115,164],"which":[116],"is":[117,147],"based":[118,140],"counter-factual":[122],"By":[124],"calculating":[125],"distance":[127],"between":[128],"cluster":[129],"centers":[130],"example":[133],"to":[134,149],"be":[135],"explained,":[136],"contrastive":[138],"loss":[139],"both":[142],"constructed":[148],"optimize":[150],"mask,":[152],"thereby":[153],"an":[155],"ideal":[156],"explanatory":[157],"subgraph.":[158],"validate":[160],"effectiveness":[162],"we":[165],"conducted":[166],"experiments":[167],"with":[168],"synthetic":[169],"real":[171],"datasets":[172],"multiple":[174],"models.":[176],"Experimental":[177],"demonstrate":[179],"UM-Explainer":[181],"performs":[182],"outstandingly":[183],"accurate":[186],"explanations.":[187]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
