{"id":"https://openalex.org/W1968388437","doi":"https://doi.org/10.1145/2766462.2767720","title":"High Quality Graph-Based Similarity Search","display_name":"High Quality Graph-Based Similarity Search","publication_year":2015,"publication_date":"2015-08-04","ids":{"openalex":"https://openalex.org/W1968388437","doi":"https://doi.org/10.1145/2766462.2767720","mag":"1968388437"},"language":"en","primary_location":{"id":"doi:10.1145/2766462.2767720","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2766462.2767720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102858336","display_name":"Weiren Yu","orcid":"https://orcid.org/0000-0002-1082-9475"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Weiren Yu","raw_affiliation_strings":["Imperial College London, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London, London, United Kingdom","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070139392","display_name":"Julie A. McCann","orcid":"https://orcid.org/0000-0001-9786-7257"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Julie Ann McCann","raw_affiliation_strings":["Imperial College London, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London, London, United Kingdom","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"83","last_page":"92"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9977999925613403,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9894000291824341,"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/computer-science","display_name":"Computer science","score":0.7226600646972656},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5015342235565186},{"id":"https://openalex.org/keywords/diagonal","display_name":"Diagonal","score":0.4943387508392334},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.46829313039779663},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.46011215448379517},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4474739730358124},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.44040557742118835},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.4219942092895508},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36840370297431946},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33599331974983215},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.278219997882843},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.1451016366481781}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7226600646972656},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5015342235565186},{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.4943387508392334},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.46829313039779663},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.46011215448379517},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4474739730358124},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.44040557742118835},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.4219942092895508},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36840370297431946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33599331974983215},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.278219997882843},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.1451016366481781},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2766462.2767720","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2766462.2767720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:publications.aston.ac.uk:29846","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400483","display_name":"Aston Publications Explorer (Aston University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I169199633","host_organization_name":"Aston University","host_organization_lineage":["https://openalex.org/I169199633"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Book Section"},{"id":"pmh:oai:spiral.imperial.ac.uk:10044/1/36994","is_oa":false,"landing_page_url":"http://hdl.handle.net/10044/1/36994","pdf_url":null,"source":{"id":"https://openalex.org/S4306401396","display_name":"Spiral (Imperial College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I47508984","host_organization_name":"Imperial College London","host_organization_lineage":["https://openalex.org/I47508984"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"38th International ACM SIGIR Conference on Research and Development in Information (SIGIR '15)","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1007208754","https://openalex.org/W1558967143","https://openalex.org/W1995973731","https://openalex.org/W1996849720","https://openalex.org/W2000893191","https://openalex.org/W2005604861","https://openalex.org/W2021758280","https://openalex.org/W2023210016","https://openalex.org/W2039797165","https://openalex.org/W2063131624","https://openalex.org/W2072501842","https://openalex.org/W2083257370","https://openalex.org/W2117831564","https://openalex.org/W2136286873","https://openalex.org/W2140445565","https://openalex.org/W2159732209","https://openalex.org/W2568082647","https://openalex.org/W3000082853"],"related_works":["https://openalex.org/W2135584473","https://openalex.org/W2964223869","https://openalex.org/W2792539140","https://openalex.org/W2319693127","https://openalex.org/W308539617","https://openalex.org/W2072263576","https://openalex.org/W2474567666","https://openalex.org/W1940044583","https://openalex.org/W2806903871","https://openalex.org/W4320802053"],"abstract_inverted_index":{"SimRank":[0,45,125,176],"is":[1,46,105,186,211],"an":[2,50,182],"influential":[3],"link-based":[4],"similarity":[5,100],"measure":[6],"that":[7,203],"has":[8],"been":[9],"used":[10],"in":[11,68,126,143],"many":[12],"fields":[13],"of":[14,57,138,146,158],"Web":[15],"search":[16],"and":[17,62,88,107,117,160,177,180,210],"sociometry.":[18],"The":[19,71,200],"best-of-breed":[20],"method":[21,121],"by":[22,49,130,188],"Kusumoto":[23],"et.":[24],"al.,":[25],"however,":[26],"does":[27],"not":[28,196],"always":[29],"deliver":[30],"high-quality":[31,99,208],"results,":[32],"since":[33,79],"it":[34],"fails":[35],"to":[36,122,141,154,171],"accurately":[37,123,206],"obtain":[38],"its":[39,178],"diagonal":[40],"correction":[41],"matrix":[42],"D.":[43],"Besides,":[44],"also":[47,134],"limited":[48],"unwanted":[51],"\"connectivity":[52,163],"trait\":":[53],"increasing":[54],"the":[55,114,136,144,156,162,172,215],"number":[56,145],"paths":[58],"between":[59,175],"nodes":[60],"a":[61,66,80,87,119,151,189],"b":[63,89],"often":[64],"incurs":[65],"decrease":[67],"score":[69,82],"s(a,b).":[70],"best-known":[72],"solution,":[73],"SimRank++,":[74],"cannot":[75],"resolve":[76],"this":[77,95],"problem,":[78],"revised":[81],"will":[83,195],"be":[84,197],"zero":[85],"if":[86],"have":[90],"no":[91],"common":[92],"in-neighbors.":[93],"In":[94],"paper,":[96],"we":[97,133],"consider":[98],"search.":[101],"Our":[102],"scheme,":[103],"SR#,":[104],"efficient":[106],"semantically":[108],"meaningful:":[109],"(1)":[110],"We":[111,149,167],"first":[112],"formulate":[113],"exact":[115],"D,":[116],"devise":[118],"\"varied-D\"":[120],"compute":[124],"linear":[127,142],"memory.":[128],"Moreover,":[129],"grouping":[131],"computation,":[132],"reduce":[135],"time":[137],"from":[139],"quadratic":[140],"iterations.":[147],"(2)":[148],"design":[150],"\"kernel-based\"":[152],"model":[153],"improve":[155],"quality":[157],"SimRank,":[159],"circumvent":[161],"trait\"":[164],"issue.":[165],"(3)":[166],"give":[168],"mathematical":[169],"insights":[170],"semantic":[173],"difference":[174],"variant,":[179],"correct":[181],"argument:":[183],"\"if":[184],"D":[185],"replaced":[187],"scaled":[190],"identity":[191],"matrix,":[192],"top-K":[193],"rankings":[194],"affected":[198],"much\".":[199],"experiments":[201],"confirm":[202],"SR#":[204],"can":[205],"extract":[207],"scores,":[209],"much":[212],"faster":[213],"than":[214],"state-of-the-art":[216],"competitors.":[217]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
