{"id":"https://openalex.org/W2089750292","doi":"https://doi.org/10.1145/2484028.2484114","title":"IRWR","display_name":"IRWR","publication_year":2013,"publication_date":"2013-07-28","ids":{"openalex":"https://openalex.org/W2089750292","doi":"https://doi.org/10.1145/2484028.2484114","mag":"2089750292"},"language":"en","primary_location":{"id":"doi:10.1145/2484028.2484114","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2484028.2484114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval","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/A5102858336","display_name":"Weiren Yu","orcid":"https://orcid.org/0000-0002-1082-9475"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Weiren Yu","raw_affiliation_strings":["The University of New South Wales, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"The University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079659938","display_name":"Xuemin Lin","orcid":"https://orcid.org/0000-0003-2396-7225"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xuemin Lin","raw_affiliation_strings":["The University of New South Wales, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"The University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102858336"],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":5.0742,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.95780486,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1017","last_page":"1020"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11478","display_name":"Caching and Content Delivery","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9965000152587891,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9952999949455261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7912098169326782},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6239223480224609},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6060317754745483},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5815384387969971},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5238808989524841},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.506555438041687},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.44875088334083557},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.391095906496048},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13379129767417908},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.1232374906539917}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7912098169326782},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6239223480224609},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6060317754745483},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5815384387969971},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5238808989524841},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.506555438041687},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.44875088334083557},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.391095906496048},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13379129767417908},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.1232374906539917},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2484028.2484114","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2484028.2484114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1854214752","https://openalex.org/W1972714715","https://openalex.org/W1975414584","https://openalex.org/W1987600084","https://openalex.org/W2029295509","https://openalex.org/W2051381393","https://openalex.org/W2117831564","https://openalex.org/W2126124689","https://openalex.org/W2133299088","https://openalex.org/W2159732209","https://openalex.org/W2165515835","https://openalex.org/W6639055396"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4288390103","https://openalex.org/W4317039510","https://openalex.org/W4238861846"],"abstract_inverted_index":{"Random":[0],"Walk":[1],"with":[2,35],"Restart":[3],"(RWR)":[4],"has":[5],"become":[6],"an":[7,112,132],"appealing":[8],"measure":[9],"of":[10,62,77,126,138,161,172],"node":[11,150],"proximities":[12,44,176],"in":[13,64,117,152],"emerging":[14],"applications":[15],"\\eg":[16],"recommender":[17],"systems":[18],"and":[19,31,134,170],"automatic":[20],"image":[21],"captioning.":[22],"In":[23],"practice,":[24],"a":[25,65,89,94],"real":[26],"graph":[27,52],"is":[28,32,39,53,115,129],"typically":[29],"large,":[30],"frequently":[33],"updated":[34],"small":[36],"changes.":[37],"It":[38],"often":[40,70],"cost-inhibitive":[41],"to":[42,82,96,104,107,130],"recompute":[43],"from":[45],"scratch":[46],"via":[47],"\\emph{batch}":[48],"algorithms":[49],"when":[50],"the":[51,59,167],"updated.":[54],"This":[55],"paper":[56,128],"focuses":[57],"on":[58,177],"incremental":[60,113,136],"computations":[61],"RWR":[63,78,139],"dynamic":[66,178],"graph,":[67],"whose":[68],"edges":[69],"change":[71],"over":[72],"time.":[73],"The":[74,123,163],"prior":[75],"attempt":[76],"[1]":[79],"deploys":[80],"\\kdash":[81],"find":[83],"top-$k$":[84],"highest":[85],"proximity":[86,100,151],"nodes":[87],"for":[88,120,140,155,174],"given":[90],"query,":[91],"which":[92],"involves":[93],"strategy":[95,114],"incrementally":[97,147],"\\emph{estimate}":[98],"upper":[99],"bounds.":[101],"However,":[102],"due":[103],"its":[105,181],"aim":[106],"prune":[108],"needless":[109],"calculation,":[110],"such":[111],"\\emph{approximate}:":[116],"$O(1)$":[118,153],"time":[119,154],"each":[121,156],"node.":[122],"main":[124],"contribution":[125],"this":[127],"devise":[131],"\\emph{exact}":[133],"fast":[135],"algorithm":[137],"edge":[141,157],"updates.":[142],"Our":[143],"solution,":[144],"\\IRWR\\!,":[145],"can":[146],"compute":[148],"any":[149],"update":[158],"without":[159],"loss":[160],"exactness.":[162],"empirical":[164],"evaluations":[165],"show":[166],"high":[168],"efficiency":[169],"exactness":[171],"\\IRWR":[173],"computing":[175],"networks":[179],"against":[180],"batch":[182],"counterparts.":[183]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":3}],"updated_date":"2025-11-19T23:35:23.961156","created_date":"2016-06-24T00:00:00"}