{"id":"https://openalex.org/W2808551187","doi":"https://doi.org/10.24963/ijcai.2018/360","title":"A Degeneracy Framework for Graph Similarity","display_name":"A Degeneracy Framework for Graph Similarity","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2808551187","doi":"https://doi.org/10.24963/ijcai.2018/360","mag":"2808551187"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2018/360","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/360","pdf_url":"https://www.ijcai.org/proceedings/2018/0360.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2018/0360.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011742954","display_name":"Giannis Nikolentzos","orcid":"https://orcid.org/0000-0002-0336-5879"},"institutions":[{"id":"https://openalex.org/I142476485","display_name":"\u00c9cole Polytechnique","ror":"https://ror.org/05hy3tk52","country_code":"FR","type":"education","lineage":["https://openalex.org/I142476485","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Giannis Nikolentzos","raw_affiliation_strings":["Ecole Polytechnique"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ecole Polytechnique","institution_ids":["https://openalex.org/I142476485"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064520344","display_name":"Polykarpos Meladianos","orcid":null},"institutions":[{"id":"https://openalex.org/I73142707","display_name":"Athens University of Economics and Business","ror":"https://ror.org/03s262162","country_code":"GR","type":"education","lineage":["https://openalex.org/I73142707"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Polykarpos Meladianos","raw_affiliation_strings":["Athens University of Economics and Business","AUEB - Athens University of Economics and Business (Patision 76, 10434, Athens - Greece)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Athens University of Economics and Business","institution_ids":["https://openalex.org/I73142707"]},{"raw_affiliation_string":"AUEB - Athens University of Economics and Business (Patision 76, 10434, Athens - Greece)","institution_ids":["https://openalex.org/I73142707"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058510425","display_name":"Stratis Limnios","orcid":null},"institutions":[{"id":"https://openalex.org/I142476485","display_name":"\u00c9cole Polytechnique","ror":"https://ror.org/05hy3tk52","country_code":"FR","type":"education","lineage":["https://openalex.org/I142476485","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Stratis Limnios","raw_affiliation_strings":["Ecole Polytechnique"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ecole Polytechnique","institution_ids":["https://openalex.org/I142476485"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057695979","display_name":"Michalis Vazirgiannis","orcid":"https://orcid.org/0000-0001-5923-4440"},"institutions":[{"id":"https://openalex.org/I73142707","display_name":"Athens University of Economics and Business","ror":"https://ror.org/03s262162","country_code":"GR","type":"education","lineage":["https://openalex.org/I73142707"]},{"id":"https://openalex.org/I142476485","display_name":"\u00c9cole Polytechnique","ror":"https://ror.org/05hy3tk52","country_code":"FR","type":"education","lineage":["https://openalex.org/I142476485","https://openalex.org/I4210145102"]}],"countries":["FR","GR"],"is_corresponding":false,"raw_author_name":"Michalis Vazirgiannis","raw_affiliation_strings":["Athens University of Economics and Business","Ecole Polytechnique"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Athens University of Economics and Business","institution_ids":["https://openalex.org/I73142707"]},{"raw_affiliation_string":"Ecole Polytechnique","institution_ids":["https://openalex.org/I142476485"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011742954"],"corresponding_institution_ids":["https://openalex.org/I142476485"],"apc_list":null,"apc_paid":null,"fwci":7.1136,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":{"value":0.97546508,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2595","last_page":"2601"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994000196456909,"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":0.9994000196456909,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9983999729156494,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5667811036109924},{"id":"https://openalex.org/keywords/graph-kernel","display_name":"Graph kernel","score":0.5583194494247437},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5484666228294373},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.48297253251075745},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44976291060447693},{"id":"https://openalex.org/keywords/degeneracy","display_name":"Degeneracy (biology)","score":0.445067822933197},{"id":"https://openalex.org/keywords/modular-decomposition","display_name":"Modular decomposition","score":0.4395481050014496},{"id":"https://openalex.org/keywords/graph-property","display_name":"Graph property","score":0.4379587173461914},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34303927421569824},{"id":"https://openalex.org/keywords/voltage-graph","display_name":"Voltage graph","score":0.3106321096420288},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.2754943072795868},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.2730639576911926},{"id":"https://openalex.org/keywords/kernel-embedding-of-distributions","display_name":"Kernel embedding of distributions","score":0.219528466463089},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21838730573654175},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.20762190222740173},{"id":"https://openalex.org/keywords/pathwidth","display_name":"Pathwidth","score":0.1903892159461975}],"concepts":[{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5667811036109924},{"id":"https://openalex.org/C100595998","wikidata":"https://www.wikidata.org/wiki/Q11731931","display_name":"Graph kernel","level":5,"score":0.5583194494247437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5484666228294373},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.48297253251075745},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44976291060447693},{"id":"https://openalex.org/C2777727622","wikidata":"https://www.wikidata.org/wiki/Q5251772","display_name":"Degeneracy (biology)","level":2,"score":0.445067822933197},{"id":"https://openalex.org/C187407849","wikidata":"https://www.wikidata.org/wiki/Q6889712","display_name":"Modular decomposition","level":5,"score":0.4395481050014496},{"id":"https://openalex.org/C64339825","wikidata":"https://www.wikidata.org/wiki/Q722659","display_name":"Graph property","level":5,"score":0.4379587173461914},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34303927421569824},{"id":"https://openalex.org/C22149727","wikidata":"https://www.wikidata.org/wiki/Q7940747","display_name":"Voltage graph","level":4,"score":0.3106321096420288},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.2754943072795868},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.2730639576911926},{"id":"https://openalex.org/C134517425","wikidata":"https://www.wikidata.org/wiki/Q16000131","display_name":"Kernel embedding of distributions","level":4,"score":0.219528466463089},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21838730573654175},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.20762190222740173},{"id":"https://openalex.org/C43517604","wikidata":"https://www.wikidata.org/wiki/Q7144893","display_name":"Pathwidth","level":4,"score":0.1903892159461975},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.24963/ijcai.2018/360","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/360","pdf_url":"https://www.ijcai.org/proceedings/2018/0360.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04492442v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04492442","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}, Jul 2018, Stockholm, Sweden. pp.2595-2601, ⟨10.24963/ijcai.2018/360⟩","raw_type":"Conference papers"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2018/360","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/360","pdf_url":"https://www.ijcai.org/proceedings/2018/0360.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4076119974","display_name":null,"funder_award_id":"ANR-17-CE40-0028","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G6803667113","display_name":null,"funder_award_id":"ANR-17","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2808551187.pdf","grobid_xml":"https://content.openalex.org/works/W2808551187.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1179283095","https://openalex.org/W1482568066","https://openalex.org/W1542652324","https://openalex.org/W1576213419","https://openalex.org/W1816257748","https://openalex.org/W1971010887","https://openalex.org/W2008857988","https://openalex.org/W2013698884","https://openalex.org/W2026625220","https://openalex.org/W2039444222","https://openalex.org/W2086595847","https://openalex.org/W2094224753","https://openalex.org/W2107726887","https://openalex.org/W2109294083","https://openalex.org/W2118136127","https://openalex.org/W2142498761","https://openalex.org/W2147286743","https://openalex.org/W2147991930","https://openalex.org/W2148606255","https://openalex.org/W2159156271","https://openalex.org/W2217968126","https://openalex.org/W2299115575","https://openalex.org/W2303371279","https://openalex.org/W2317565191","https://openalex.org/W2399911911","https://openalex.org/W2599857192","https://openalex.org/W2604795503","https://openalex.org/W2756654724","https://openalex.org/W2911738047","https://openalex.org/W2950191616","https://openalex.org/W2950656243","https://openalex.org/W3119651796","https://openalex.org/W4250699352"],"related_works":["https://openalex.org/W1562470308","https://openalex.org/W2274777053","https://openalex.org/W2807994977","https://openalex.org/W2592554948","https://openalex.org/W1980424184","https://openalex.org/W1968017594","https://openalex.org/W1559161606","https://openalex.org/W2271729023","https://openalex.org/W3112836523","https://openalex.org/W1995648733"],"abstract_inverted_index":{"The":[0,79,123,140],"problem":[1],"of":[2,13,19,35,88,96,106,163],"accurately":[3],"measuring":[4],"the":[5,11,84,101,155,167],"similarity":[6,26,69],"between":[7],"graphs":[8,40,89],"is":[9,125,143],"at":[10,56,75],"core":[12],"many":[14],"applications":[15],"in":[16,90,161],"a":[17,45,48,64,94],"variety":[18],"disciplines.":[20],"Most":[21],"existing":[22],"methods":[23],"for":[24,67,149],"graph":[25,68,108,121,129,137,150],"focus":[27],"either":[28],"on":[29,32,83,145],"local":[30,46],"or":[31,47],"global":[33,49],"properties":[34],"graphs.":[36],"However,":[37],"even":[38],"if":[39],"seem":[41],"very":[42,175],"similar":[43],"from":[44],"perspective,":[50],"they":[51],"may":[52],"exhibit":[53],"different":[54,57,77],"structure":[55,74],"scales.":[58,78],"In":[59,152],"this":[60],"paper,":[61],"we":[62],"present":[63],"general":[65],"framework":[66,81,102,124,142],"which":[70],"takes":[71],"into":[72],"account":[73],"multiple":[76],"proposed":[80,141],"capitalizes":[82],"well-known":[85],"k-core":[86],"decomposition":[87],"order":[91],"to":[92,103,128,135],"build":[93],"hierarchy":[95],"nested":[97],"subgraphs.":[98],"We":[99],"apply":[100],"derive":[104],"variants":[105],"four":[107],"kernels,":[109,130,169],"namely":[110],"graphlet":[111],"kernel,":[112,114,117],"shortest-path":[113],"Weisfeiler-Lehman":[115],"subtree":[116],"and":[118],"pyramid":[119],"match":[120],"kernel.":[122],"not":[126],"limited":[127],"but":[131],"can":[132],"be":[133],"applied":[134],"any":[136],"comparison":[138],"algorithm.":[139],"evaluated":[144],"several":[146],"benchmark":[147],"datasets":[148],"classification.":[151],"most":[153],"cases,":[154],"core-based":[156],"kernels":[157],"achieve":[158],"significant":[159],"improvements":[160],"terms":[162],"classification":[164],"accuracy":[165],"over":[166],"base":[168],"while":[170],"their":[171],"time":[172],"complexity":[173],"remains":[174],"attractive.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":3}],"updated_date":"2026-05-02T08:42:23.175194","created_date":"2025-10-10T00:00:00"}