{"id":"https://openalex.org/W4385584355","doi":"https://doi.org/10.3233/faia230149","title":"Chapter 17. Approximate Answering of Graph Queries","display_name":"Chapter 17. Approximate Answering of Graph Queries","publication_year":2023,"publication_date":"2023-07-21","ids":{"openalex":"https://openalex.org/W4385584355","doi":"https://doi.org/10.3233/faia230149"},"language":"en","primary_location":{"id":"doi:10.3233/faia230149","is_oa":false,"landing_page_url":"http://dx.doi.org/10.3233/faia230149","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://curis.ku.dk/ws/files/391890104/Approximate_Answering_of_Graph_Queries.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041317183","display_name":"Michael Cochez","orcid":"https://orcid.org/0000-0001-5726-4638"},"institutions":[{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]},{"id":"https://openalex.org/I1318003438","display_name":"RELX Group (Netherlands)","ror":"https://ror.org/02scfj030","country_code":"NL","type":"company","lineage":["https://openalex.org/I1318003438","https://openalex.org/I4210160603"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Michael Cochez","raw_affiliation_strings":["Vrije Universiteit Amsterdam & Elsevier Discovery Lab"],"affiliations":[{"raw_affiliation_string":"Vrije Universiteit Amsterdam & Elsevier Discovery Lab","institution_ids":["https://openalex.org/I1318003438","https://openalex.org/I865915315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033391602","display_name":"Dimitrios Alivanistos","orcid":"https://orcid.org/0000-0002-0090-2069"},"institutions":[{"id":"https://openalex.org/I1318003438","display_name":"RELX Group (Netherlands)","ror":"https://ror.org/02scfj030","country_code":"NL","type":"company","lineage":["https://openalex.org/I1318003438","https://openalex.org/I4210160603"]},{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Dimitrios Alivanistos","raw_affiliation_strings":["Vrije Universiteit Amsterdam & Elsevier Discovery Lab"],"affiliations":[{"raw_affiliation_string":"Vrije Universiteit Amsterdam & Elsevier Discovery Lab","institution_ids":["https://openalex.org/I1318003438","https://openalex.org/I865915315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078655388","display_name":"Erik Arakelyan","orcid":null},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Erik Arakelyan","raw_affiliation_strings":["University of Copenhagen"],"affiliations":[{"raw_affiliation_string":"University of Copenhagen","institution_ids":["https://openalex.org/I124055696"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040144256","display_name":"Max Berrendorf","orcid":"https://orcid.org/0000-0001-9724-4009"},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Max Berrendorf","raw_affiliation_strings":["Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen"],"affiliations":[{"raw_affiliation_string":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","institution_ids":["https://openalex.org/I8204097"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102965953","display_name":"Daniel Daza","orcid":"https://orcid.org/0000-0002-5357-3705"},"institutions":[{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]},{"id":"https://openalex.org/I1318003438","display_name":"RELX Group (Netherlands)","ror":"https://ror.org/02scfj030","country_code":"NL","type":"company","lineage":["https://openalex.org/I1318003438","https://openalex.org/I4210160603"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Daniel Daza","raw_affiliation_strings":["Vrije Universiteit Amsterdam & Elsevier Discovery Lab"],"affiliations":[{"raw_affiliation_string":"Vrije Universiteit Amsterdam & Elsevier Discovery Lab","institution_ids":["https://openalex.org/I1318003438","https://openalex.org/I865915315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015943518","display_name":"Mikhail Galkin","orcid":"https://orcid.org/0000-0002-1436-0010"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mikhail Galkin","raw_affiliation_strings":["Mila Quebec & McGill University"],"affiliations":[{"raw_affiliation_string":"Mila Quebec & McGill University","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019106673","display_name":"Pasquale Minervini","orcid":"https://orcid.org/0000-0002-8442-602X"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pasquale Minervini","raw_affiliation_strings":["University of Edinburgh"],"affiliations":[{"raw_affiliation_string":"University of Edinburgh","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031719069","display_name":"Mathias Niepert","orcid":"https://orcid.org/0000-0002-8401-3751"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mathias Niepert","raw_affiliation_strings":["University of Stuttgart"],"affiliations":[{"raw_affiliation_string":"University of Stuttgart","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103198578","display_name":"Hongyu Ren","orcid":"https://orcid.org/0000-0002-9866-8513"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongyu Ren","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":6,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5041317183"],"corresponding_institution_ids":["https://openalex.org/I1318003438","https://openalex.org/I865915315"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29177764,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9950000047683716,"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":0.9950000047683716,"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":0.9764000177383423,"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":0.9523000121116638,"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/knowledge-graph","display_name":"Knowledge graph","score":0.7818873524665833},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7517716884613037},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6847223043441772},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5979612469673157},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5053856372833252},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.416300892829895},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.270791232585907}],"concepts":[{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.7818873524665833},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7517716884613037},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6847223043441772},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5979612469673157},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5053856372833252},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.416300892829895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.270791232585907}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/faia230149","is_oa":false,"landing_page_url":"http://dx.doi.org/10.3233/faia230149","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"pmh:oai:pure.atira.dk:publications/cfde9fe7-cfed-4b76-9908-8bbec248f23a","is_oa":true,"landing_page_url":"https://researchprofiles.ku.dk/da/publications/cfde9fe7-cfed-4b76-9908-8bbec248f23a","pdf_url":"https://curis.ku.dk/ws/files/391890104/Approximate_Answering_of_Graph_Queries.pdf","source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Cochez , M , Alivanistos , D , Arakelyan , E , Berrendorf , M , Daza , D , Galkin , M , Minervini , P , Niepert , M & Ren , H 2023 , Approximate answering of graph queries . in Compendium of Neurosymbolic Artificial Intelligence . IOS Press , Frontiers in Artificial Intelligence and Applications , vol. 369 , pp. 373-386 . https://doi.org/10.3233/FAIA230149","raw_type":"bookPart"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:publications/cfde9fe7-cfed-4b76-9908-8bbec248f23a","is_oa":true,"landing_page_url":"https://researchprofiles.ku.dk/da/publications/cfde9fe7-cfed-4b76-9908-8bbec248f23a","pdf_url":"https://curis.ku.dk/ws/files/391890104/Approximate_Answering_of_Graph_Queries.pdf","source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Cochez , M , Alivanistos , D , Arakelyan , E , Berrendorf , M , Daza , D , Galkin , M , Minervini , P , Niepert , M & Ren , H 2023 , Approximate answering of graph queries . in Compendium of Neurosymbolic Artificial Intelligence . IOS Press , Frontiers in Artificial Intelligence and Applications , vol. 369 , pp. 373-386 . https://doi.org/10.3233/FAIA230149","raw_type":"bookPart"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385584355.pdf","grobid_xml":"https://content.openalex.org/works/W4385584355.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W1986418932","https://openalex.org/W2357796999","https://openalex.org/W4321636575","https://openalex.org/W2741131631","https://openalex.org/W2045526782","https://openalex.org/W2156919374","https://openalex.org/W1483472507","https://openalex.org/W1984019423","https://openalex.org/W4280588203"],"abstract_inverted_index":{"Knowledge":[0],"graphs":[1],"(KGs)":[2],"are":[3],"inherently":[4],"incomplete":[5,8],"because":[6],"of":[7,61,81,112,121],"world":[9,22],"knowledge":[10,23],"and":[11,26,93,116,126],"bias":[12],"in":[13,71,119],"what":[14],"is":[15],"the":[16,19,49,82,113],"input":[17],"to":[18,41,44,68],"KG.":[20],"Additionally,":[21],"constantly":[24],"expands":[25],"evolves,":[27],"making":[28],"existing":[29],"facts":[30],"deprecated":[31],"or":[32],"introducing":[33],"new":[34],"ones.":[35],"However,":[36],"we":[37,56,108],"would":[38],"still":[39],"want":[40],"be":[42,88],"able":[43],"answer":[45,69],"queries":[46,70],"as":[47,99,101],"if":[48],"graph":[50,124],"were":[51],"complete.":[52],"In":[53],"this":[54],"chapter,":[55],"will":[57,76],"give":[58,109],"an":[59,79,102,110],"overview":[60,80,111],"several":[62],"methods":[63,92],"which":[64,86],"have":[65],"been":[66],"proposed":[67],"such":[72],"a":[73],"setting.":[74],"We":[75],"first":[77],"provide":[78],"different":[83,114],"query":[84],"types":[85],"can":[87],"supported":[89,123],"by":[90],"these":[91],"datasets":[94],"typically":[95],"used":[96],"for":[97],"evaluation,":[98],"well":[100],"insight":[103],"into":[104],"their":[105],"limitations.":[106],"Then,":[107],"approaches":[115],"describe":[117],"them":[118],"terms":[120],"expressiveness,":[122],"types,":[125],"inference":[127],"capabilities.":[128]},"counts_by_year":[],"updated_date":"2026-03-14T08:43:22.919905","created_date":"2025-10-10T00:00:00"}