{"id":"https://openalex.org/W2052850111","doi":"https://doi.org/10.1145/2661829.2661916","title":"Relationship Emergence Prediction in Heterogeneous Networks through Dynamic Frequent Subgraph Mining","display_name":"Relationship Emergence Prediction in Heterogeneous Networks through Dynamic Frequent Subgraph Mining","publication_year":2014,"publication_date":"2014-11-03","ids":{"openalex":"https://openalex.org/W2052850111","doi":"https://doi.org/10.1145/2661829.2661916","mag":"2052850111"},"language":"en","primary_location":{"id":"doi:10.1145/2661829.2661916","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2661829.2661916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management","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/A5100355768","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0002-0166-3944"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["New Jersey Institute of Technology, Newark, NJ, USA",", New Jersey Institute of Technology, Newark, NJ, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]},{"raw_affiliation_string":", New Jersey Institute of Technology, Newark, NJ, USA#TAB#","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046202286","display_name":"Songhua Xu","orcid":"https://orcid.org/0000-0002-2276-2538"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Songhua Xu","raw_affiliation_strings":["New Jersey Institute of Technology, Newark, NJ, USA",", New Jersey Institute of Technology, Newark, NJ, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]},{"raw_affiliation_string":", New Jersey Institute of Technology, Newark, NJ, USA#TAB#","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077625109","display_name":"Lian Duan","orcid":"https://orcid.org/0000-0002-0618-8628"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lian Duan","raw_affiliation_strings":["New Jersey Institute of Technology, Newark, NJ, USA",", New Jersey Institute of Technology, Newark, NJ, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]},{"raw_affiliation_string":", New Jersey Institute of Technology, Newark, NJ, USA#TAB#","institution_ids":["https://openalex.org/I118118575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I118118575"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1649","last_page":"1658"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9968000054359436,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.991100013256073,"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":0.814338207244873},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5298091173171997},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49768903851509094},{"id":"https://openalex.org/keywords/heterogeneous-network","display_name":"Heterogeneous network","score":0.4912394881248474},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4589473009109497},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.44902974367141724},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4440048635005951},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43642663955688477},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.31255418062210083}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.814338207244873},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5298091173171997},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49768903851509094},{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.4912394881248474},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4589473009109497},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.44902974367141724},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4440048635005951},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43642663955688477},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.31255418062210083},{"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/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"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/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2661829.2661916","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2661829.2661916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5866592742","display_name":null,"funder_award_id":"1R01CA170508","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"}],"funders":[{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W579623069","https://openalex.org/W1556758605","https://openalex.org/W1566376227","https://openalex.org/W1641749581","https://openalex.org/W1964731129","https://openalex.org/W1975563293","https://openalex.org/W1990280147","https://openalex.org/W2003707464","https://openalex.org/W2022322548","https://openalex.org/W2026417691","https://openalex.org/W2037933327","https://openalex.org/W2045553337","https://openalex.org/W2056145546","https://openalex.org/W2070209782","https://openalex.org/W2083922799","https://openalex.org/W2095054612","https://openalex.org/W2097915776","https://openalex.org/W2127345773","https://openalex.org/W2148847267","https://openalex.org/W2154454189","https://openalex.org/W2155653793","https://openalex.org/W6679197216"],"related_works":["https://openalex.org/W1927327903","https://openalex.org/W1544665982","https://openalex.org/W2022479666","https://openalex.org/W2805504328","https://openalex.org/W2065457896","https://openalex.org/W4248847438","https://openalex.org/W2509090697","https://openalex.org/W3173234801","https://openalex.org/W1953159635","https://openalex.org/W4238131711"],"abstract_inverted_index":{"With":[0],"the":[1,8,46,49,65,86,93,98,103,107,111,119,137,153,156,166,177,180,185,189,192,198,204],"rapid":[2],"development":[3],"of":[4,10,42,48,58,74,106,113,139,162,179,188,209,217,230],"Web":[5],"2.0":[6],"and":[7,130,202,214],"Internet":[9],"things,":[11],"predicting":[12],"relationships":[13,28,62,70,134,201],"in":[14,29,34,85],"heterogeneous":[15,30,75,88],"networks":[16,31],"has":[17],"evolved":[18],"as":[19],"a":[20,35,39,82,124,146,160,171,210,215,228],"heated":[21],"research":[22],"topic.":[23],"Traditionally,":[24],"people":[25],"analyze":[26],"existing":[27,54,99],"that":[32,97,127,208],"relate":[33],"particular":[36],"way":[37],"to":[38,44,196],"target":[40,50,143],"relationship":[41,144,167],"interest":[43],"predict":[45,197],"emergence":[47],"relationship.":[51],"However":[52],"most":[53],"methods":[55],"are":[56],"incapable":[57],"systematically":[59,129],"identifying":[60],"relevant":[61,133],"useful":[63,135],"for":[64,136,165],"prediction":[66,138,169,225,231],"task,":[67],"especially":[68],"those":[69],"involving":[71],"multiple":[72],"objects":[73],"types,":[76],"which":[77],"may":[78],"not":[79],"rest":[80],"on":[81,191],"simple":[83],"path":[84],"concerned":[87],"network.":[89],"Another":[90],"problem":[91],"with":[92,207],"current":[94],"practice":[95],"is":[96],"solutions":[100],"often":[101],"ignore":[102],"dynamic":[104],"evolution":[105],"network":[108,195],"structure":[109],"after":[110],"introduction":[112],"newly":[114],"emerged":[115],"relationships.":[116],"To":[117,151,175],"overcome":[118],"first":[120],"limitation,":[121,155],"we":[122,183],"propose":[123],"new":[125,157,181],"algorithm":[126,158,190,205],"can":[128],"comprehensively":[131],"detect":[132],"an":[140],"arbitrarily":[141],"given":[142],"through":[145],"disciplined":[147],"graph":[148],"searching":[149],"process.":[150],"address":[152],"second":[154],"leverages":[159],"series":[161,216],"temporally-sensitive":[163],"features":[164],"occurrence":[168],"via":[170],"supervised":[172],"learning":[173],"approach.":[174],"explore":[176],"effectiveness":[178],"algorithm,":[182],"apply":[184],"prototype":[186],"implementation":[187],"DBLP":[193],"bibliographic":[194],"author":[199],"citation":[200],"compare":[203],"performance":[206],"state-of-the-art":[211],"peer":[212],"method":[213],"baseline":[218],"methods.":[219],"The":[220],"comparison":[221],"shows":[222],"consistently":[223],"higher":[224],"accuracy":[226],"under":[227],"range":[229],"scenarios.":[232]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
