{"id":"https://openalex.org/W2986323996","doi":"https://doi.org/10.1145/3356422.3356446","title":"Frequent Pattern-based Graph Exploration","display_name":"Frequent Pattern-based Graph Exploration","publication_year":2019,"publication_date":"2019-09-20","ids":{"openalex":"https://openalex.org/W2986323996","doi":"https://doi.org/10.1145/3356422.3356446","mag":"2986323996"},"language":"en","primary_location":{"id":"doi:10.1145/3356422.3356446","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3356422.3356446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Symposium on Visual Information Communication and Interaction","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/A5054181879","display_name":"Kai Yan","orcid":"https://orcid.org/0000-0002-4960-7108"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210161462","display_name":"Heilongjiang Institute of Technology","ror":"https://ror.org/05x0m9n95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210161462"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kai Yan","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, China","institution_ids":["https://openalex.org/I4210161462","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100653962","display_name":"Weiwei Cui","orcid":"https://orcid.org/0000-0003-0870-7628"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Cui","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101661008","display_name":"Tiejun Zhao","orcid":"https://orcid.org/0000-0003-4659-4935"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210161462","display_name":"Heilongjiang Institute of Technology","ror":"https://ror.org/05x0m9n95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210161462"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiejun Zhao","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, China","institution_ids":["https://openalex.org/I4210161462","https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054181879"],"corresponding_institution_ids":["https://openalex.org/I204983213","https://openalex.org/I4210161462"],"apc_list":null,"apc_paid":null,"fwci":0.2024,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.551083,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9980999827384949,"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"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9980999827384949,"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":"Complex Network Analysis Techniques","score":0.9958999752998352,"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":0.8027141690254211},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6715231537818909},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.4579469561576843},{"id":"https://openalex.org/keywords/impression","display_name":"Impression","score":0.4209168553352356},{"id":"https://openalex.org/keywords/graph-algorithms","display_name":"Graph algorithms","score":0.4168128967285156},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4152000844478607},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4058331847190857},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3838154077529907},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3458382487297058},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33214324712753296},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.22021958231925964}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8027141690254211},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6715231537818909},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.4579469561576843},{"id":"https://openalex.org/C2776684213","wikidata":"https://www.wikidata.org/wiki/Q6007582","display_name":"Impression","level":2,"score":0.4209168553352356},{"id":"https://openalex.org/C2986651925","wikidata":"https://www.wikidata.org/wiki/Q1514868","display_name":"Graph algorithms","level":3,"score":0.4168128967285156},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4152000844478607},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4058331847190857},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3838154077529907},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3458382487297058},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33214324712753296},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.22021958231925964}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3356422.3356446","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3356422.3356446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Symposium on Visual Information Communication and Interaction","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1197347346","https://openalex.org/W1641749581","https://openalex.org/W1971458834","https://openalex.org/W2015528223","https://openalex.org/W2019827052","https://openalex.org/W2068379792","https://openalex.org/W2097746044","https://openalex.org/W2108614537","https://openalex.org/W2112837953","https://openalex.org/W2118212234","https://openalex.org/W2122255072","https://openalex.org/W2131254650","https://openalex.org/W2167976873","https://openalex.org/W2468565665","https://openalex.org/W2471390041","https://openalex.org/W2573978326","https://openalex.org/W2607500032","https://openalex.org/W2612872092","https://openalex.org/W2622205633","https://openalex.org/W2743418339","https://openalex.org/W2762180135","https://openalex.org/W2803036851","https://openalex.org/W2887807009","https://openalex.org/W2888650943","https://openalex.org/W2888705264","https://openalex.org/W2962756421","https://openalex.org/W6685146747"],"related_works":["https://openalex.org/W2950176494","https://openalex.org/W3115442681","https://openalex.org/W2391000461","https://openalex.org/W2915302566","https://openalex.org/W4390436776","https://openalex.org/W3016558738","https://openalex.org/W2903698620","https://openalex.org/W4210508727","https://openalex.org/W2059198010","https://openalex.org/W4296827243"],"abstract_inverted_index":{"Visual":[0],"graph":[1,85],"exploration":[2,54,90],"can":[3,30,43,73],"help":[4],"the":[5,15,28,33,39,45,63,67,105,112],"users":[6,29,72],"have":[7],"an":[8],"intuitive":[9],"impression":[10],"about":[11],"a":[12,52,84,101],"dataset":[13],"for":[14],"first":[16,82],"time.":[17],"However,":[18],"it":[19],"is":[20],"better":[21],"to":[22,99],"provide":[23],"some":[24,58],"guidance":[25],"so":[26],"that":[27],"quickly":[31,79],"locate":[32],"\"interesting\"":[34],"or":[35],"\"informative\"":[36],"area":[37],"in":[38],"graph.":[40],"Then":[41],"they":[42,81],"start":[44],"next":[46],"stage":[47],"of":[48,114],"sense-making.":[49],"We":[50,87],"propose":[51],"visual":[53],"system":[55,91],"which":[56,110],"provides":[57],"frequent":[59],"sub-graphs":[60],"extracted":[61],"from":[62],"whole":[64],"graph,":[65],"and":[66,103],"relationship":[68],"between":[69],"them.":[70],"Thus,":[71],"raise":[74,100],"their":[75],"study":[76],"questions":[77],"more":[78],"when":[80],"confront":[83],"dataset.":[86],"evaluate":[88],"our":[89,108],"with":[92,107],"two":[93],"datasets.":[94],"Specifically,":[95],"we":[96],"demonstrate":[97],"how":[98],"question":[102],"find":[104],"answer":[106],"system,":[109],"validates":[111],"effectiveness":[113],"this":[115],"project.":[116]},"counts_by_year":[{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}