{"id":"https://openalex.org/W2145388307","doi":"https://doi.org/10.1145/1645953.1646027","title":"Graph classification based on pattern co-occurrence","display_name":"Graph classification based on pattern co-occurrence","publication_year":2009,"publication_date":"2009-11-02","ids":{"openalex":"https://openalex.org/W2145388307","doi":"https://doi.org/10.1145/1645953.1646027","mag":"2145388307"},"language":"en","primary_location":{"id":"doi:10.1145/1645953.1646027","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1645953.1646027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM 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/A5064463976","display_name":"Jin Ning","orcid":"https://orcid.org/0000-0002-8551-7038"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ning Jin","raw_affiliation_strings":["University of North Carolina at Chapel Hill, Chapel Hill, NC, USA","University of North Carolina at Chapel Hill , Chapel Hill, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"University of North Carolina at Chapel Hill , Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059912644","display_name":"C. A. Young","orcid":"https://orcid.org/0000-0001-5966-5697"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Calvin Young","raw_affiliation_strings":["University of North Carolina at Chapel Hill, Chapel Hill, NC, USA","University of North Carolina at Chapel Hill , Chapel Hill, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"University of North Carolina at Chapel Hill , Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100392089","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-8180-2886"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["University of North Carolina at Chapel Hill, Chapel Hill, NC, USA","University of North Carolina at Chapel Hill , Chapel Hill, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"University of North Carolina at Chapel Hill , Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114027177"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"573","last_page":"582"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9955999851226807,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9955999851226807,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9830999970436096,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9807999730110168,"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":0.6134098172187805},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4772781729698181},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4306790232658386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39290356636047363},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.21453598141670227}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6134098172187805},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4772781729698181},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4306790232658386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39290356636047363},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.21453598141670227}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1645953.1646027","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1645953.1646027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM conference on Information and knowledge management","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.158.5455","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.158.5455","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.unc.edu/~weiwang/paper/CIKM09.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1508044906","https://openalex.org/W1513522676","https://openalex.org/W1524882660","https://openalex.org/W1535228720","https://openalex.org/W1576427324","https://openalex.org/W1641749581","https://openalex.org/W1994058693","https://openalex.org/W2037091248","https://openalex.org/W2099258729","https://openalex.org/W2101302040","https://openalex.org/W2110920461","https://openalex.org/W2118349699","https://openalex.org/W2119148238","https://openalex.org/W2131374321","https://openalex.org/W2134356404","https://openalex.org/W2136593687","https://openalex.org/W2139608682","https://openalex.org/W2153635508","https://openalex.org/W2156909104","https://openalex.org/W2161723275","https://openalex.org/W2164281374","https://openalex.org/W2165884200","https://openalex.org/W2168924255","https://openalex.org/W2170726034","https://openalex.org/W2215622313","https://openalex.org/W2595697910","https://openalex.org/W2911964244","https://openalex.org/W3120421331","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Subgraph":[0],"patterns":[1,18,54],"are":[2,55,59],"widely":[3],"used":[4],"in":[5,128],"graph":[6,39],"classification,":[7],"but":[8],"their":[9],"effectiveness":[10,127],"is":[11],"often":[12],"hampered":[13],"by":[14,91],"large":[15],"number":[16],"of":[17,21,73,82,130],"or":[19,124],"lack":[20],"discrimination":[22],"power":[23],"among":[24],"individual":[25],"patterns.":[26],"We":[27],"introduce":[28],"a":[29,45,117],"novel":[30],"classification":[31,40,126],"method":[32,43,86,106,115],"based":[33],"on":[34],"pattern":[35,46,66,74,101,109],"co-occurrence":[36,62,83],"to":[37,69],"derive":[38],"rules.":[41],"Our":[42],"employs":[44],"exploration":[47],"order":[48],"such":[49],"that":[50,98],"the":[51,65,100],"complementary":[52],"discriminative":[53],"examined":[56],"first.":[57],"Patterns":[58],"grouped":[60],"into":[61],"rules":[63],"during":[64],"exploration,":[67],"leading":[68],"an":[70],"integrated":[71],"process":[72,103],"mining":[75,102,110],"and":[76,121,132],"classifier":[77,120],"learning.":[78],"By":[79],"taking":[80],"advantage":[81],"information,":[84],"our":[85,105,114],"can":[87],"generate":[88],"strong":[89],"features":[90],"assembling":[92],"weak":[93],"features.":[94],"Unlike":[95],"previous":[96],"methods":[97],"invoke":[99],"repeatedly,":[104],"only":[107],"performs":[108],"once.":[111],"In":[112],"addition,":[113],"produces":[116],"more":[118],"interpretable":[119],"shows":[122],"better":[123],"competitive":[125],"terms":[129],"accuracy":[131],"execution":[133],"time.":[134]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":16},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}