{"id":"https://openalex.org/W2963553269","doi":"https://doi.org/10.1145/3178876.3186107","title":"Fast and Accurate Random Walk with Restart on Dynamic Graphs with Guarantees","display_name":"Fast and Accurate Random Walk with Restart on Dynamic Graphs with Guarantees","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2963553269","doi":"https://doi.org/10.1145/3178876.3186107","mag":"2963553269"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3178876.3186107","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3186107&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=3186107&type=pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038730074","display_name":"Minji Yoon","orcid":"https://orcid.org/0000-0003-3693-9127"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minji Yoon","raw_affiliation_strings":["Seoul National University, Seoul, Rebublic of Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, Rebublic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087823830","display_name":"Woojeong Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Woojeong Jin","raw_affiliation_strings":["Seoul National University, Seoul, Rebublic of Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, Rebublic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074561505","display_name":"U Kang","orcid":"https://orcid.org/0000-0002-8774-6950"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"U. Kang","raw_affiliation_strings":["Seoul National University, Seoul, Rebublic of Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, Rebublic of Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.059,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":32,"citation_normalized_percentile":{"value":0.888145,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Graph Neural Network Models and Applications","score":0.996,"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":"Graph Neural Network Models and Applications","score":0.996,"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/T10064","display_name":"Statistical Mechanics of Complex Networks","score":0.9958,"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/T11478","display_name":"Content-Centric Networking for Information Delivery","score":0.9956,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/signal-processing-on-graphs","display_name":"Signal Processing on Graphs","score":0.512761},{"id":"https://openalex.org/keywords/representation-learning","display_name":"Representation Learning","score":0.509277},{"id":"https://openalex.org/keywords/relational-data-modeling","display_name":"Relational Data Modeling","score":0.503283},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.49642497},{"id":"https://openalex.org/keywords/undirected-graph","display_name":"Undirected graph","score":0.41295502}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.67960846},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.66465044},{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.59549326},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.593051},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.53207064},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.49642497},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.49547827},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.47324166},{"id":"https://openalex.org/C3018234147","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Undirected graph","level":3,"score":0.41295502},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35495654},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23844936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17379293},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3178876.3186107","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3186107&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1712.00595","pdf_url":"http://arxiv.org/pdf/1712.00595","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3178876.3186107","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3186107&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":29,"referenced_works":["https://openalex.org/W117504094","https://openalex.org/W195425914","https://openalex.org/W1973416695","https://openalex.org/W1976969221","https://openalex.org/W1997219719","https://openalex.org/W2025871195","https://openalex.org/W2026939502","https://openalex.org/W2051381393","https://openalex.org/W2063049279","https://openalex.org/W2063943022","https://openalex.org/W2066090568","https://openalex.org/W2069153192","https://openalex.org/W2086254934","https://openalex.org/W2117831564","https://openalex.org/W2120797124","https://openalex.org/W2126124689","https://openalex.org/W2133299088","https://openalex.org/W2171774716","https://openalex.org/W2311742723","https://openalex.org/W2378467122","https://openalex.org/W244291035","https://openalex.org/W2568082647","https://openalex.org/W2576295605","https://openalex.org/W2584855799","https://openalex.org/W2613777234","https://openalex.org/W2776174348","https://openalex.org/W2963185427","https://openalex.org/W2997134027","https://openalex.org/W4240752724"],"related_works":["https://openalex.org/W4297449606","https://openalex.org/W4245069437","https://openalex.org/W2382333285","https://openalex.org/W2325737604","https://openalex.org/W2141180764","https://openalex.org/W2042537860","https://openalex.org/W2038723108","https://openalex.org/W2033630974","https://openalex.org/W1994341438","https://openalex.org/W1597743604"],"abstract_inverted_index":{"Given":[0,208],"a":[1,12,32,88,120,129,143,191,197],"time-evolving":[2],"graph,":[3,167],"how":[4],"can":[5],"we":[6,126,227],"track":[7],"similarity":[8,38],"between":[9,39,199],"nodes":[10,40],"in":[11,45,65,97,119,142,221],"fast":[13,130],"and":[14,23,41,94,113,131,168,188,201,246,260],"accurate":[15,132],"way,":[16],"with":[17,28,53,138,172,218,254],"theoretical":[18],"guarantees":[19,213],"on":[20,62,82,243],"the":[21,24,37,83,147,157,161,165,173,184],"convergence":[22,114],"error?":[25],"Random":[26],"Walk":[27],"Restart":[29],"(RWR)":[30],"is":[31,149],"popular":[33],"measure":[34],"to":[35,102,110,177,214,235,250],"estimate":[36],"has":[42,69],"been":[43,92],"exploited":[44],"numerous":[46],"applications.":[47],"Many":[48],"real-world":[49],"graphs":[50,64],"are":[51],"dynamic":[52,63,78,136,244,268],"frequent":[54],"insertion/deletion":[55,139],"of":[56,85,140,186,193],"edges;":[57],"thus,":[58],"tracking":[59],"RWR":[60,79,104,118,137,175,180,216,232,241,269],"scores":[61,86,155,163,176,217],"an":[66],"efficient":[67],"way":[68],"aroused":[70],"much":[71],"interest":[72],"among":[73],"data":[74],"mining":[75],"researchers.":[76],"Recently,":[77],"models":[80,108],"based":[81],"propagation":[84],"across":[87,164],"given":[89],"graph":[90,148],"have":[91,95],"proposed,":[93],"succeeded":[96],"outperforming":[98],"previous":[99],"other":[100,266],"approaches":[101],"compute":[103],"dynamically.":[105],"However,":[106],"those":[107],"fail":[109],"guarantee":[111],"exactness":[112,185],"time":[115,203,253],"for":[116,134],"updating":[117],"generalized":[121],"form.":[122],"In":[123],"this":[124],"paper,":[125],"propose":[127],"OSP,":[128],"algorithm":[133],"computing":[135],"nodes/edges":[141],"directed/undirected":[144],"graph.":[145],"When":[146],"updated,":[150],"OSP":[151,187,194,230],"first":[152],"calculates":[153],"offset":[154,162],"around":[156],"modified":[158],"edges,":[159],"propagates":[160],"updated":[166,179],"then":[169],"merges":[170],"them":[171],"current":[174],"get":[178],"scores.":[181],"We":[182],"prove":[183],"introduce":[189],"OSP-T,":[190],"version":[192],"which":[195],"regulates":[196],"trade-off":[198],"accuracy":[200],"computation":[202],"by":[204],"using":[205],"error":[206,220,259,264],"tolerance?.":[207],"restart":[209],"probability":[210],"c,":[211],"OSP-T":[212,247],"return":[215],"O(\u220b/c)":[219],"O(log(\u220b/2)/log(1-c))":[222],"iterations.":[223],"Through":[224],"extensive":[225],"experiments,":[226],"show":[228],"that":[229],"tracks":[231],"exactly":[233],"up":[234,249],"4605x":[236],"faster":[237],"than":[238,265],"existing":[239],"static":[240],"method":[242],"graphs,":[245],"requires":[248],"15x":[251],"less":[252],"730x":[255],"lower":[256,262],"L1":[257],"norm":[258],"3.3x":[261],"rank":[263],"state-of-the-art":[267],"methods.":[270]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2963553269","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":2}],"updated_date":"2024-09-30T06:58:36.924383","created_date":"2019-07-30"}
