{"id":"https://openalex.org/W2134990212","doi":"https://doi.org/10.1145/2621934.2621946","title":"Toward Representation Independent Similarity Search Over Graphs","display_name":"Toward Representation Independent Similarity Search Over Graphs","publication_year":2014,"publication_date":"2014-06-22","ids":{"openalex":"https://openalex.org/W2134990212","doi":"https://doi.org/10.1145/2621934.2621946","mag":"2134990212"},"language":"en","primary_location":{"id":"doi:10.1145/2621934.2621946","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2621934.2621946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of Workshop on GRAph Data management Experiences and Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068857843","display_name":"Yodsawalai Chodpathumwan","orcid":null},"institutions":[{"id":"https://openalex.org/I2801919071","display_name":"University of Illinois System","ror":"https://ror.org/05e94g991","country_code":"US","type":"education","lineage":["https://openalex.org/I2801919071"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yodsawalai Chodpathumwan","raw_affiliation_strings":["University of Illinois"],"affiliations":[{"raw_affiliation_string":"University of Illinois","institution_ids":["https://openalex.org/I2801919071"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008664449","display_name":"Arash Termehchy","orcid":"https://orcid.org/0009-0007-2213-6303"},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arash Termehchy","raw_affiliation_strings":["Oregon State University","Oregon State University>"],"affiliations":[{"raw_affiliation_string":"Oregon State University","institution_ids":["https://openalex.org/I131249849"]},{"raw_affiliation_string":"Oregon State University>","institution_ids":["https://openalex.org/I131249849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025213473","display_name":"Yizhou Sun","orcid":"https://orcid.org/0000-0003-1812-6843"},"institutions":[{"id":"https://openalex.org/I87182695","display_name":"Universidad del Noreste","ror":"https://ror.org/02ahky613","country_code":"MX","type":"education","lineage":["https://openalex.org/I87182695"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Yizhou Sun","raw_affiliation_strings":["Northeastern University","northeastern Univ"],"affiliations":[{"raw_affiliation_string":"Northeastern University","institution_ids":["https://openalex.org/I87182695"]},{"raw_affiliation_string":"northeastern Univ","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002321029","display_name":"Amirhossein Aleyasin","orcid":null},"institutions":[{"id":"https://openalex.org/I2801919071","display_name":"University of Illinois System","ror":"https://ror.org/05e94g991","country_code":"US","type":"education","lineage":["https://openalex.org/I2801919071"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amirhossein Aleyasin","raw_affiliation_strings":["University of Illinois"],"affiliations":[{"raw_affiliation_string":"University of Illinois","institution_ids":["https://openalex.org/I2801919071"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103080785","display_name":"Jose Picado","orcid":"https://orcid.org/0000-0001-8265-1509"},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jose Picado","raw_affiliation_strings":["Oregon State University","Oregon State University>"],"affiliations":[{"raw_affiliation_string":"Oregon State University","institution_ids":["https://openalex.org/I131249849"]},{"raw_affiliation_string":"Oregon State University>","institution_ids":["https://openalex.org/I131249849"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5068857843"],"corresponding_institution_ids":["https://openalex.org/I2801919071"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16603009,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9976000189781189,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9976000189781189,"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/computer-science","display_name":"Computer science","score":0.6782078742980957},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.5958386659622192},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5888099074363708},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.5510844588279724},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5338249206542969},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.504510760307312},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4679132103919983},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.456453800201416},{"id":"https://openalex.org/keywords/usable","display_name":"USable","score":0.448264479637146},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40211188793182373},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26577794551849365}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6782078742980957},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.5958386659622192},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5888099074363708},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.5510844588279724},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5338249206542969},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.504510760307312},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4679132103919983},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.456453800201416},{"id":"https://openalex.org/C2780615836","wikidata":"https://www.wikidata.org/wiki/Q2471869","display_name":"USable","level":2,"score":0.448264479637146},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40211188793182373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26577794551849365},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2621934.2621946","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2621934.2621946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of Workshop on GRAph Data management Experiences and Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W103340358","https://openalex.org/W1997219719","https://openalex.org/W2043736911","https://openalex.org/W2112543636","https://openalex.org/W2117831564","https://openalex.org/W2152407760"],"related_works":["https://openalex.org/W2982321410","https://openalex.org/W2392004567","https://openalex.org/W2940029036","https://openalex.org/W4388292429","https://openalex.org/W2756595502","https://openalex.org/W2046296964","https://openalex.org/W2280422768","https://openalex.org/W2010789764","https://openalex.org/W3143197806","https://openalex.org/W4252555497"],"abstract_inverted_index":{"Finding":[0],"similar":[1],"entities":[2],"over":[3,92,129],"data":[4,28,46,57,117,147,164],"graphs":[5,58,94],"is":[6],"an":[7,134],"important":[8],"problem":[9],"with":[10,59],"many":[11],"applications.":[12],"Current":[13],"similarity":[14,35,69,111],"search":[15,70,112],"algorithms":[16,113,157],"use":[17],"intuitively":[18],"appealing":[19],"heuristics":[20],"that":[21,50,64,95,106,152],"leverage":[22],"the":[23,27,32,53,86,97,107,139,153],"link":[24],"information":[25,55],"in":[26,65,146,163],"graph":[29],"to":[30,72],"quantify":[31],"degree":[33],"of":[34,109,141,155],"between":[36],"its":[37],"entities.":[38],"In":[39],"this":[40,102],"paper,":[41],"using":[42,56],"examples":[43],"from":[44],"real-world":[45],"sets,":[47],"we":[48],"show":[49,105],"people":[51],"represent":[52,96],"same":[54,87,98],"different":[60,93],"shapes.":[61],"We":[62,100,131],"argue":[63],"order":[66],"for":[67,89],"a":[68,90],"algorithm":[71],"be":[73,79,122],"usable":[74],"and":[75,104,127,137],"effective,":[76],"it":[77,82],"should":[78,83],"representation":[80],"independent:":[81],"return":[84],"essentially":[85],"answers":[88],"query":[91],"information.":[99],"formalize":[101],"property":[103],"outcome":[108],"current":[110,142],"depend":[114],"highly":[115,159],"on":[116,124],"representation.":[118,148,165],"Hence,":[119],"they":[120],"may":[121],"effective":[123],"some":[125],"datasets":[126],"ineffective":[128],"others.":[130],"also":[132],"perform":[133],"empirical":[135],"study":[136],"analyze":[138],"sensitivity":[140],"methods":[143],"against":[144],"changes":[145,162],"Our":[149],"results":[150],"indicate":[151],"output":[154],"these":[156],"are":[158],"affected":[160],"by":[161]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
