{"id":"https://openalex.org/W4415014309","doi":"https://doi.org/10.1145/3746252.3761379","title":"Efficient Knowledge Graph Unlearning with Zeroth-order Information","display_name":"Efficient Knowledge Graph Unlearning with Zeroth-order Information","publication_year":2025,"publication_date":"2025-11-08","ids":{"openalex":"https://openalex.org/W4415014309","doi":"https://doi.org/10.1145/3746252.3761379"},"language":"en","primary_location":{"id":"doi:10.1145/3746252.3761379","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746252.3761379","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3746252.3761379","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103851459","display_name":"Yang Xiao","orcid":"https://orcid.org/0009-0007-8534-1734"},"institutions":[{"id":"https://openalex.org/I87208437","display_name":"University of Tulsa","ror":"https://ror.org/04wn28048","country_code":"US","type":"education","lineage":["https://openalex.org/I87208437"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yang Xiao","raw_affiliation_strings":["The University of Tulsa, Tulsa, Oklahoma, USA"],"affiliations":[{"raw_affiliation_string":"The University of Tulsa, Tulsa, Oklahoma, USA","institution_ids":["https://openalex.org/I87208437"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119930548","display_name":"Runchuan Ye","orcid":"https://orcid.org/0009-0001-6753-503X"},"institutions":[{"id":"https://openalex.org/I87208437","display_name":"University of Tulsa","ror":"https://ror.org/04wn28048","country_code":"US","type":"education","lineage":["https://openalex.org/I87208437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruimeng Ye","raw_affiliation_strings":["The University of Tulsa, Tulsa, Oklahoma, USA"],"affiliations":[{"raw_affiliation_string":"The University of Tulsa, Tulsa, Oklahoma, USA","institution_ids":["https://openalex.org/I87208437"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103126336","display_name":"Bohan Liu","orcid":"https://orcid.org/0000-0002-0146-5411"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bohan Liu","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, Pennsylvania, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, Pennsylvania, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030850924","display_name":"Xiaolong Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaolong Ma","raw_affiliation_strings":["The University of Arizona, Tucson, Arizona, USA"],"affiliations":[{"raw_affiliation_string":"The University of Arizona, Tucson, Arizona, USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050420727","display_name":"Bo Hui","orcid":"https://orcid.org/0009-0008-9054-4437"},"institutions":[{"id":"https://openalex.org/I87208437","display_name":"University of Tulsa","ror":"https://ror.org/04wn28048","country_code":"US","type":"education","lineage":["https://openalex.org/I87208437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bo Hui","raw_affiliation_strings":["Computer science, The University of Tulsa, Tulsa, Oklahoma, USA"],"affiliations":[{"raw_affiliation_string":"Computer science, The University of Tulsa, Tulsa, Oklahoma, USA","institution_ids":["https://openalex.org/I87208437"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103851459"],"corresponding_institution_ids":["https://openalex.org/I87208437"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14847157,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3509","last_page":"3519"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9794999957084656,"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/T12676","display_name":"Machine Learning and ELM","score":0.9794999957084656,"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/T10057","display_name":"Face and Expression Recognition","score":0.9659000039100647,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9434999823570251,"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/computation","display_name":"Computation","score":0.5038999915122986},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49570000171661377},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4724000096321106},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4007999897003174},{"id":"https://openalex.org/keywords/retraining","display_name":"Retraining","score":0.38519999384880066},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.361299991607666},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.33660000562667847},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.31470000743865967}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6226999759674072},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5139999985694885},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5038999915122986},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49570000171661377},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4724000096321106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40630000829696655},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4007999897003174},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.38519999384880066},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.361299991607666},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.33660000562667847},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.31470000743865967},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3131999969482422},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.30799999833106995},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.3041999936103821},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.2969000041484833},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.29319998621940613},{"id":"https://openalex.org/C158946198","wikidata":"https://www.wikidata.org/wiki/Q131187","display_name":"Taylor series","level":2,"score":0.2912999987602234},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27970001101493835},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.2782999873161316},{"id":"https://openalex.org/C3018263672","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Efficient algorithm","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.2653000056743622},{"id":"https://openalex.org/C146380142","wikidata":"https://www.wikidata.org/wiki/Q1137726","display_name":"Directed graph","level":2,"score":0.2554999887943268}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3746252.3761379","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746252.3761379","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2508.14013","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.14013","pdf_url":"https://arxiv.org/pdf/2508.14013","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3746252.3761379","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746252.3761379","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Due":[0],"to":[1,6,55,82,99,120,149],"regulations":[2],"like":[3],"the":[4,56,62,71,101,122,131,138,143,151,157,165],"Right":[5],"be":[7],"Forgotten,":[8],"there":[9],"is":[10,25,52,185],"growing":[11],"demand":[12],"for":[13,94,112],"removing":[14],"training":[15],"data":[16,127],"and":[17,61,97,109,134,146,180],"its":[18],"influence":[19,72,92],"from":[20],"models.":[21],"Since":[22],"full":[23],"retraining":[24],"costly,":[26],"various":[27],"machine":[28],"unlearning":[29,45,51,68,96,172,178,181],"methods":[30],"have":[31],"been":[32],"proposed.":[33],"In":[34],"this":[35,87],"paper,":[36],"we":[37,89,116,141],"firstly":[38],"present":[39],"an":[40,91],"efficient":[41],"knowledge":[42,84],"graph":[43,171],"(KG)":[44],"algorithm.":[46],"We":[47],"remark":[48],"that":[49,130,164],"KG":[50,60,95],"nontrivial":[53],"due":[54],"distinctive":[57],"structure":[58],"of":[59,73,107,177],"semantic":[63],"relations":[64],"between":[65],"entities.":[66],"Also,":[67],"by":[69,126],"estimating":[70],"removed":[74],"components":[75],"incurs":[76],"significant":[77],"computational":[78,139,158],"overhead":[79],"when":[80],"applied":[81],"large-scale":[83],"graphs.":[85,159],"To":[86],"end,":[88],"define":[90],"function":[93],"propose":[98],"approximate":[100,150],"model's":[102],"sensitivity":[103],"without":[104,155],"expensive":[105],"computation":[106],"first-order":[108,132],"second-order":[110,135],"derivatives":[111,136],"parameter":[113,123],"updates.":[114],"Specifically,":[115],"use":[117,142],"Taylor":[118],"expansion":[119],"estimate":[121],"changes":[124],"caused":[125],"removal.":[128],"Given":[129],"gradients":[133],"dominate":[137],"load,":[140],"Fisher":[144],"matrices":[145],"zeroth-order":[147],"optimization":[148],"inverse-Hessian":[152],"vector":[153],"product":[154],"constructing":[156],"Our":[160,183],"experimental":[161],"results":[162],"demonstrate":[163],"proposed":[166],"method":[167],"outperforms":[168],"other":[169],"state-of-the-art":[170],"baselines":[173],"significantly":[174],"in":[175],"terms":[176],"efficiency":[179],"quality.":[182],"code":[184],"released":[186],"at":[187],"https://github.com/NKUShaw/ZOWFKGIF.":[188]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
