{"id":"https://openalex.org/W4405767757","doi":"https://doi.org/10.1145/3690624.3709213","title":"APEX <sup>2</sup> : Adaptive and Extreme Summarization for Personalized Knowledge Graphs","display_name":"APEX <sup>2</sup> : Adaptive and Extreme Summarization for Personalized Knowledge Graphs","publication_year":2025,"publication_date":"2025-04-04","ids":{"openalex":"https://openalex.org/W4405767757","doi":"https://doi.org/10.1145/3690624.3709213"},"language":"en","primary_location":{"id":"doi:10.1145/3690624.3709213","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3690624.3709213","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 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3690624.3709213","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003386825","display_name":"Zihao Li","orcid":"https://orcid.org/0000-0001-7987-1770"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zihao Li","raw_affiliation_strings":["University of Illinois Urbana-Champaign, Champaign, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign, Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028848091","display_name":"Dongqi Fu","orcid":"https://orcid.org/0000-0002-8726-9234"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dongqi Fu","raw_affiliation_strings":["Meta AI, Meta, Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"Meta AI, Meta, Sunnyvale, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110060470","display_name":"M. Ai","orcid":"https://orcid.org/0009-0009-3878-6188"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mengting Ai","raw_affiliation_strings":["University of Illinois Urbana-Champaign, Champaign, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign, Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073158087","display_name":"Jingrui He","orcid":"https://orcid.org/0000-0002-6429-6272"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingrui He","raw_affiliation_strings":["University of Illinois Urbana-Champaign, Champaign, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign, Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003386825"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":2.7799,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.88751304,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"741","last_page":"752"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"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":0.9998000264167786,"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":0.998199999332428,"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/T11719","display_name":"Data Quality and Management","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.9185783863067627},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6902351379394531},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5719771981239319},{"id":"https://openalex.org/keywords/apex","display_name":"Apex (geometry)","score":0.45334339141845703},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34484732151031494},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13649344444274902}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9185783863067627},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6902351379394531},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5719771981239319},{"id":"https://openalex.org/C67139541","wikidata":"https://www.wikidata.org/wiki/Q2858200","display_name":"Apex (geometry)","level":2,"score":0.45334339141845703},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34484732151031494},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13649344444274902},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3690624.3709213","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3690624.3709213","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 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2412.17336","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.17336","pdf_url":"https://arxiv.org/pdf/2412.17336","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"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:10.1145/3690624.3709213","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3690624.3709213","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 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1964669181","https://openalex.org/W2022166150","https://openalex.org/W2082357899","https://openalex.org/W2094728533","https://openalex.org/W2114913305","https://openalex.org/W2137096596","https://openalex.org/W2166417226","https://openalex.org/W2167295942","https://openalex.org/W2434543269","https://openalex.org/W2503179616","https://openalex.org/W2560674852","https://openalex.org/W2755637027","https://openalex.org/W2769698037","https://openalex.org/W2792550408","https://openalex.org/W2927148761","https://openalex.org/W2933698106","https://openalex.org/W2962936633","https://openalex.org/W2970199592","https://openalex.org/W2990714382","https://openalex.org/W3003509848","https://openalex.org/W3012757543","https://openalex.org/W3015409108","https://openalex.org/W3023891225","https://openalex.org/W3099840570","https://openalex.org/W3105753785","https://openalex.org/W3167706305","https://openalex.org/W3176427671","https://openalex.org/W4221158407","https://openalex.org/W4245067498","https://openalex.org/W4252462081","https://openalex.org/W4367047044","https://openalex.org/W4367047153","https://openalex.org/W4400529865","https://openalex.org/W4404351756"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W4389760904","https://openalex.org/W2150160875","https://openalex.org/W2351187795"],"abstract_inverted_index":{"Knowledge":[0],"graphs":[1,17],"(KGs),":[2],"which":[3,116],"store":[4],"an":[5,165],"extensive":[6],"number":[7],"of":[8,80,106,120,127,189],"relational":[9],"facts,":[10],"serve":[11],"various":[12],"applications.":[13],"Recently,":[14],"personalized":[15],"knowledge":[16],"(PKGs)":[18],"have":[19],"emerged":[20],"as":[21,74,76],"a":[22,138],"solution":[23],"to":[24,32,60,72,149],"optimize":[25],"storage":[26,81],"costs":[27],"by":[28],"customizing":[29],"their":[30,52],"content":[31],"align":[33],"with":[34,145,155],"users'":[35],"specific":[36],"interests":[37,54,94],"within":[38],"particular":[39],"domains.":[40],"In":[41],"the":[42,46,64,67,84,92,103,111,125,128,171,176],"real":[43],"world,":[44],"on":[45,63],"one":[47],"hand,":[48,66],"user":[49],"queries":[50],"and":[51,97,123,174,193],"underlying":[53],"are":[55,95,118],"inherently":[56],"evolving,":[57],"requiring":[58],"PKGs":[59],"adapt":[61],"continuously;":[62],"other":[65],"summarization":[68,87,142,153],"is":[69,108],"constantly":[70],"expected":[71],"be":[73,161],"small":[75,157],"possible":[77],"in":[78,151,187],"terms":[79,188],"cost.":[82],"However,":[83],"existing":[85,112],"PKG":[86,107,141],"methods":[88,113],"implicitly":[89],"assume":[90],"that":[91,182],"user's":[93],"constant":[96],"do":[98],"not":[99],"shift.":[100],"Furthermore,":[101],"when":[102],"size":[104,158],"constraint":[105],"extremely":[109,156],"small,":[110],"cannot":[114],"distinguish":[115],"facts":[117],"more":[119],"immediate":[121],"interest":[122,172],"guarantee":[124],"utility":[126],"summarized":[129],"PKG.":[130],"To":[131,160],"address":[132],"these":[133],"limitations,":[134],"we":[135],"propose":[136],"APEX2,":[137],"highly":[139],"scalable":[140],"framework":[143],"designed":[144],"robust":[146],"theoretical":[147],"guarantees":[148],"excel":[150],"adaptive":[152],"tasks":[154],"constraints.":[159],"specific,":[162],"after":[163],"constructing":[164],"initial":[166],"PKG,":[167],"APEX2":[168],"continuously":[169],"tracks":[170],"shift":[173],"adjusts":[175],"previous":[177],"summary.":[178],"The":[179],"experiments":[180],"show":[181],"APEX":[183],"outperforms":[184],"state-of-the-art":[185],"baselines":[186],"both":[190],"query-answering":[191],"accuracy":[192],"efficiency.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2024-12-25T00:00:00"}
