{"id":"https://openalex.org/W4321485670","doi":"https://doi.org/10.1145/3539597.3573026","title":"Developing and Evaluating Graph Counterfactual Explanation with GRETEL","display_name":"Developing and Evaluating Graph Counterfactual Explanation with GRETEL","publication_year":2023,"publication_date":"2023-02-22","ids":{"openalex":"https://openalex.org/W4321485670","doi":"https://doi.org/10.1145/3539597.3573026"},"language":"en","primary_location":{"id":"doi:10.1145/3539597.3573026","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3539597.3573026","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3539597.3573026","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3539597.3573026","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022228133","display_name":"Mario Alfonso Prado-Romero","orcid":"https://orcid.org/0000-0002-0491-3515"},"institutions":[{"id":"https://openalex.org/I4210150763","display_name":"Gran Sasso Science Institute","ror":"https://ror.org/043qcb444","country_code":"IT","type":"education","lineage":["https://openalex.org/I160013858","https://openalex.org/I4210150763"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Mario Alfonso Prado-Romero","raw_affiliation_strings":["Gran Sasso Science Institute, L'Aquila, Italy"],"raw_orcid":"https://orcid.org/0000-0002-0491-3515","affiliations":[{"raw_affiliation_string":"Gran Sasso Science Institute, L'Aquila, Italy","institution_ids":["https://openalex.org/I4210150763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017702643","display_name":"Bardh Prenkaj","orcid":"https://orcid.org/0000-0002-2991-2279"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Bardh Prenkaj","raw_affiliation_strings":["Sapienza University of Rome, Rome, Italy"],"raw_orcid":"https://orcid.org/0000-0002-2991-2279","affiliations":[{"raw_affiliation_string":"Sapienza University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036321638","display_name":"Giovanni Stilo","orcid":"https://orcid.org/0000-0002-2092-0213"},"institutions":[{"id":"https://openalex.org/I26415053","display_name":"University of L'Aquila","ror":"https://ror.org/01j9p1r26","country_code":"IT","type":"education","lineage":["https://openalex.org/I26415053"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanni Stilo","raw_affiliation_strings":["University of L'Aquila, L'Aquila, Italy"],"raw_orcid":"https://orcid.org/0000-0002-2092-0213","affiliations":[{"raw_affiliation_string":"University of L'Aquila, L'Aquila, Italy","institution_ids":["https://openalex.org/I26415053"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022228133"],"corresponding_institution_ids":["https://openalex.org/I4210150763"],"apc_list":null,"apc_paid":null,"fwci":1.1929,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.82292872,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1180","last_page":"1183"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","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"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.988099992275238,"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/T10028","display_name":"Topic Modeling","score":0.9775000214576721,"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/interpretability","display_name":"Interpretability","score":0.8572909832000732},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8278762698173523},{"id":"https://openalex.org/keywords/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.8226115703582764},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5327498912811279},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46124571561813354},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42903849482536316},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3327597975730896},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08175373077392578}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8572909832000732},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8278762698173523},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.8226115703582764},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5327498912811279},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46124571561813354},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42903849482536316},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3327597975730896},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08175373077392578},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3539597.3573026","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3539597.3573026","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3539597.3573026","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.luiss.it:11385/252826","is_oa":true,"landing_page_url":"https://dl.acm.org/doi/10.1145/3539597.3573026","pdf_url":null,"source":{"id":"https://openalex.org/S4377196446","display_name":"IRIS - Institutional Research Information System (Libera Universit\u00e0 Internazionale degli Studi Sociali Guido Carli)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I56441308","host_organization_name":"Libera Universit\u00e0 Internazionale degli Studi Sociali Guido Carli","host_organization_lineage":["https://openalex.org/I56441308"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.1145/3539597.3573026","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3539597.3573026","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3539597.3573026","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G899169222","display_name":null,"funder_award_id":"871042","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320323718","display_name":"Universit\u00e0 degli Studi dell'Aquila","ror":"https://ror.org/01j9p1r26"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4321485670.pdf","grobid_xml":"https://content.openalex.org/works/W4321485670.grobid-xml"},"referenced_works_count":3,"referenced_works":["https://openalex.org/W2116341502","https://openalex.org/W4291972642","https://openalex.org/W4386390750"],"related_works":["https://openalex.org/W3201448254","https://openalex.org/W2905433371","https://openalex.org/W4286970243","https://openalex.org/W2888392564","https://openalex.org/W2066431708","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W2964449086","https://openalex.org/W1986582023","https://openalex.org/W2966829450"],"abstract_inverted_index":{"The":[0],"black-box":[1],"nature":[2],"and":[3,25,48,63,73,90,117],"the":[4,36,54,68,71],"lack":[5],"of":[6,38,75],"interpretability":[7,74],"detract":[8],"from":[9],"constant":[10],"improvements":[11],"in":[12,18,34,50,77],"Graph":[13,28],"Neural":[14],"Networks":[15],"(GNNs)":[16],"performance":[17,72],"social":[19,51,78],"network":[20],"tasks":[21],"like":[22],"friendship":[23],"prediction":[24,37,120],"community":[26],"detection.":[27],"Counterfactual":[29],"Explanation":[30],"(GCE)":[31],"methods":[32,88],"aid":[33],"understanding":[35],"GNNs":[39,76],"by":[40],"generating":[41],"counterfactual":[42],"examples":[43],"that":[44,102],"promote":[45],"trustworthiness,":[46],"debiasing,":[47],"privacy":[49],"networks.":[52],"Alas,":[53],"literature":[55],"on":[56],"GCE":[57,87],"lacks":[58],"standardised":[59],"definitions,":[60],"explainers,":[61],"datasets,":[62,112],"evaluation":[64,115],"metrics.":[65],"To":[66],"bridge":[67],"gap":[69],"between":[70],"networks,":[79],"we":[80],"discuss":[81],"GRETEL,":[82],"a":[83],"unified":[84],"framework":[85],"for":[86],"development":[89],"evaluation.":[91],"We":[92],"demonstrate":[93],"how":[94],"GRETEL":[95],"comes":[96],"with":[97],"fully":[98],"extensible":[99],"built-in":[100],"components":[101],"allow":[103],"users":[104],"to":[105],"define":[106],"ad-hoc":[107],"explainer":[108],"methods,":[109],"generate":[110],"synthetic":[111],"implement":[113],"custom":[114],"metrics,":[116],"integrate":[118],"state-of-the-art":[119],"models.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2023-02-23T00:00:00"}
