{"id":"https://openalex.org/W2828920349","doi":"https://doi.org/10.1145/3209542.3209548","title":"Know Thy Neighbors, and More!","display_name":"Know Thy Neighbors, and More!","publication_year":2018,"publication_date":"2018-07-03","ids":{"openalex":"https://openalex.org/W2828920349","doi":"https://doi.org/10.1145/3209542.3209548","mag":"2828920349"},"language":"en","primary_location":{"id":"doi:10.1145/3209542.3209548","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3209542.3209548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th on Hypertext and Social Media","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/A5022961965","display_name":"Sumit Bhatia","orcid":"https://orcid.org/0000-0002-8146-4100"},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sumit Bhatia","raw_affiliation_strings":["IBM Research AI, New Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research AI, New Delhi, India","institution_ids":["https://openalex.org/I4210103279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109705850","display_name":"Harit Vishwakarma","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Harit Vishwakarma","raw_affiliation_strings":["IBM Research AI, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research AI, Bangalore, India","institution_ids":["https://openalex.org/I4210103279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210103279"],"apc_list":null,"apc_paid":null,"fwci":1.6898,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.88128044,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"87","last_page":"95"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"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":0.9998000264167786,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":"Complex Network Analysis Techniques","score":0.9955999851226807,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8163810968399048},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6374586820602417},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5694409608840942},{"id":"https://openalex.org/keywords/traverse","display_name":"Traverse","score":0.5177673101425171},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4860442280769348},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4691444933414459},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4612727165222168},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.4371391534805298},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32613688707351685},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09810522198677063}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8163810968399048},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6374586820602417},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5694409608840942},{"id":"https://openalex.org/C176809094","wikidata":"https://www.wikidata.org/wiki/Q15401496","display_name":"Traverse","level":2,"score":0.5177673101425171},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4860442280769348},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4691444933414459},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4612727165222168},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.4371391534805298},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32613688707351685},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09810522198677063},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3209542.3209548","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3209542.3209548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th on Hypertext and Social Media","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W102708294","https://openalex.org/W158057341","https://openalex.org/W1498941143","https://openalex.org/W1532325895","https://openalex.org/W1607035479","https://openalex.org/W1759446372","https://openalex.org/W1960027552","https://openalex.org/W1965284750","https://openalex.org/W1983551905","https://openalex.org/W1993715838","https://openalex.org/W1997189720","https://openalex.org/W1998084297","https://openalex.org/W2009312133","https://openalex.org/W2010187764","https://openalex.org/W2021290983","https://openalex.org/W2021758280","https://openalex.org/W2022166150","https://openalex.org/W2035891522","https://openalex.org/W2037802158","https://openalex.org/W2040873223","https://openalex.org/W2066695216","https://openalex.org/W2091181883","https://openalex.org/W2093618034","https://openalex.org/W2100341149","https://openalex.org/W2107569009","https://openalex.org/W2117831564","https://openalex.org/W2120887026","https://openalex.org/W2127289991","https://openalex.org/W2143405681","https://openalex.org/W2143952152","https://openalex.org/W2151048449","https://openalex.org/W2151078464","https://openalex.org/W2153267064","https://openalex.org/W2154454189","https://openalex.org/W2165897980","https://openalex.org/W2251913848","https://openalex.org/W2402803841","https://openalex.org/W2420733993","https://openalex.org/W2488240688","https://openalex.org/W2497965792","https://openalex.org/W2523190165","https://openalex.org/W2532123973","https://openalex.org/W2584516749","https://openalex.org/W2614895439","https://openalex.org/W2763044883","https://openalex.org/W2792287767","https://openalex.org/W2963448850","https://openalex.org/W3029010980","https://openalex.org/W4298010216"],"related_works":["https://openalex.org/W2348832445","https://openalex.org/W4288330090","https://openalex.org/W2952167008","https://openalex.org/W3001062969","https://openalex.org/W2963380480","https://openalex.org/W2983787653","https://openalex.org/W1971922661","https://openalex.org/W1984775058","https://openalex.org/W3127753314","https://openalex.org/W1817956424"],"abstract_inverted_index":{"Knowledge":[0],"Graphs":[1],"capture":[2],"the":[3,26,29,33,42,52,56,68,79,84,89,93,102,110,126],"semantic":[4],"relations":[5],"between":[6],"real-world":[7],"entities":[8,124],"and":[9,99,113,147],"can":[10,106,137],"thus,":[11],"allow":[12,46],"end-users":[13],"to":[14,48,64,130,151,156,163],"explore":[15],"different":[16],"aspects":[17],"of":[18,21,32,55,58,81,95,123],"an":[19,96],"entity":[20,37,57,80],"interest":[22,82],"by":[23,143],"traversing":[24],"through":[25],"edges":[27],"in":[28,36,41,51,83,92,108,125],"graph.":[30,85],"Most":[31],"state-of-the-art":[34],"methods":[35],"recommendation":[38],"are":[39,128],"limited":[40],"sense":[43],"that":[44],"they":[45],"users":[47,87],"search":[49,69,90],"only":[50,119],"immediate":[53],"neighborhood":[54],"interest.":[59,133],"This":[60],"is":[61],"majorly":[62],"due":[63],"efficiency":[65],"reasons":[66],"as":[67,73],"space":[70],"increases":[71],"exponentially":[72],"we":[74,100,138],"move":[75],"further":[76,152],"away":[77],"from":[78],"Often,":[86],"perform":[88],"task":[91],"context":[94,105],"information":[97],"need":[98],"investigate":[101],"role":[103],"this":[104,141,154],"play":[107],"overcoming":[109],"scalability":[111],"issue":[112],"improving":[114],"knowledge":[115],"graph":[116,127,160],"exploration.":[117],"Intuitively,":[118],"a":[120,131],"small":[121],"subset":[122],"relevant":[129,159],"users'":[132],"We":[134],"show":[135],"how":[136],"efficiently":[139],"select":[140],"sub-set":[142],"utilizing":[144],"contextual":[145],"clues":[146],"using":[148],"graph-theoretic":[149],"measures":[150],"re-rank":[153],"set":[155],"offer":[157],"highly":[158],"exploration":[161],"capabilities":[162],"end-users.":[164]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}