{"id":"https://openalex.org/W2621999758","doi":"https://doi.org/10.4018/jitr.2017070102","title":"A Combined Dimensional Kernel Method for Graph Classification","display_name":"A Combined Dimensional Kernel Method for Graph Classification","publication_year":2017,"publication_date":"2017-06-05","ids":{"openalex":"https://openalex.org/W2621999758","doi":"https://doi.org/10.4018/jitr.2017070102","mag":"2621999758"},"language":"en","primary_location":{"id":"doi:10.4018/jitr.2017070102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jitr.2017070102","pdf_url":null,"source":{"id":"https://openalex.org/S138592535","display_name":"Journal of Information Technology Research","issn_l":"1938-7857","issn":["1938-7857","1938-7865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Technology Research","raw_type":"journal-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/A5103380016","display_name":"Tiejun Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I1296452710","display_name":"Hunan International Economics University","ror":"https://ror.org/01551ga11","country_code":"CN","type":"education","lineage":["https://openalex.org/I1296452710"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tiejun Cao","raw_affiliation_strings":["School of Electrical and Information Engineering, Hunan International Economics University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Hunan International Economics University, Changsha, China","institution_ids":["https://openalex.org/I1296452710"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5103380016"],"corresponding_institution_ids":["https://openalex.org/I1296452710"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.05693832,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"10","issue":"3","first_page":"22","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.991599977016449,"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/T10057","display_name":"Face and Expression Recognition","score":0.991599977016449,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9848999977111816,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7270755767822266},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.6471419334411621},{"id":"https://openalex.org/keywords/graph-kernel","display_name":"Graph kernel","score":0.6364424824714661},{"id":"https://openalex.org/keywords/tree-kernel","display_name":"Tree kernel","score":0.6158407926559448},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6039263606071472},{"id":"https://openalex.org/keywords/kernel-embedding-of-distributions","display_name":"Kernel embedding of distributions","score":0.5615097284317017},{"id":"https://openalex.org/keywords/polynomial-kernel","display_name":"Polynomial kernel","score":0.5523852705955505},{"id":"https://openalex.org/keywords/string-kernel","display_name":"String kernel","score":0.5342914462089539},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5237659811973572},{"id":"https://openalex.org/keywords/quadratic-programming","display_name":"Quadratic programming","score":0.4943053722381592},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.48338380455970764},{"id":"https://openalex.org/keywords/variable-kernel-density-estimation","display_name":"Variable kernel density estimation","score":0.45550039410591125},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.45070314407348633},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.436549574136734},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39972034096717834},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38722002506256104},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33662381768226624},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2982831597328186},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2945426106452942},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.28648650646209717},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1505037248134613},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.113697350025177},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.09506246447563171}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7270755767822266},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.6471419334411621},{"id":"https://openalex.org/C100595998","wikidata":"https://www.wikidata.org/wiki/Q11731931","display_name":"Graph kernel","level":5,"score":0.6364424824714661},{"id":"https://openalex.org/C140417398","wikidata":"https://www.wikidata.org/wiki/Q16933942","display_name":"Tree kernel","level":5,"score":0.6158407926559448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6039263606071472},{"id":"https://openalex.org/C134517425","wikidata":"https://www.wikidata.org/wiki/Q16000131","display_name":"Kernel embedding of distributions","level":4,"score":0.5615097284317017},{"id":"https://openalex.org/C160446489","wikidata":"https://www.wikidata.org/wiki/Q7226642","display_name":"Polynomial kernel","level":4,"score":0.5523852705955505},{"id":"https://openalex.org/C55851704","wikidata":"https://www.wikidata.org/wiki/Q7623983","display_name":"String kernel","level":5,"score":0.5342914462089539},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5237659811973572},{"id":"https://openalex.org/C81845259","wikidata":"https://www.wikidata.org/wiki/Q290117","display_name":"Quadratic programming","level":2,"score":0.4943053722381592},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.48338380455970764},{"id":"https://openalex.org/C195699287","wikidata":"https://www.wikidata.org/wiki/Q7915722","display_name":"Variable kernel density estimation","level":4,"score":0.45550039410591125},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.45070314407348633},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.436549574136734},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39972034096717834},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38722002506256104},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33662381768226624},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2982831597328186},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2945426106452942},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.28648650646209717},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1505037248134613},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.113697350025177},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.09506246447563171},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4018/jitr.2017070102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jitr.2017070102","pdf_url":null,"source":{"id":"https://openalex.org/S138592535","display_name":"Journal of Information Technology Research","issn_l":"1938-7857","issn":["1938-7857","1938-7865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Technology Research","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1511160855","https://openalex.org/W1528547644","https://openalex.org/W1534477342","https://openalex.org/W1535627680","https://openalex.org/W1538813063","https://openalex.org/W1574901103","https://openalex.org/W1605923270","https://openalex.org/W1641749581","https://openalex.org/W1816257748","https://openalex.org/W1835509607","https://openalex.org/W1964514974","https://openalex.org/W2009570821","https://openalex.org/W2020816856","https://openalex.org/W2025167103","https://openalex.org/W2039444222","https://openalex.org/W2047442272","https://openalex.org/W2056562706","https://openalex.org/W2056884786","https://openalex.org/W2093843821","https://openalex.org/W2127713198","https://openalex.org/W2131479089","https://openalex.org/W2136507529","https://openalex.org/W2137262074","https://openalex.org/W2142387771","https://openalex.org/W2145295623","https://openalex.org/W2147286743","https://openalex.org/W2166473218","https://openalex.org/W2313910184","https://openalex.org/W2746500237","https://openalex.org/W2978831371","https://openalex.org/W3119651796","https://openalex.org/W3125696988","https://openalex.org/W4245668478","https://openalex.org/W4246066915","https://openalex.org/W4249225477","https://openalex.org/W4291327732","https://openalex.org/W6679091061"],"related_works":["https://openalex.org/W3013206934","https://openalex.org/W3100948281","https://openalex.org/W2130792056","https://openalex.org/W1983263273","https://openalex.org/W2574115973","https://openalex.org/W2090782076","https://openalex.org/W1590832708","https://openalex.org/W3081470858","https://openalex.org/W3099811568","https://openalex.org/W2147750455"],"abstract_inverted_index":{"The":[0,105],"data":[1],"containing":[2],"structural":[3],"information":[4,51],"is":[5,17,30,41,62,87,97],"an":[6,18],"important":[7],"problem":[8,93],"in":[9,35,44],"the":[10,54,66,73,77,82,90,101,110,117,123],"field":[11],"of":[12,68,76,84],"machine":[13],"learning.":[14],"Kernel":[15],"methods":[16],"effective":[19],"technique":[20],"for":[21],"solving":[22],"such":[23],"problems.":[24],"A":[25,38],"combined":[26],"dimension":[27],"kernel":[28,40,61,83,103],"method":[29,112],"proposed":[31,111],"or":[32],"graph":[33],"classification":[34],"this":[36,45,80],"paper.":[37],"two-dimensional":[39],"first":[42],"constructed":[43,63],"method,":[46],"and":[47,57,89,120],"it":[48,121],"incorporates":[49],"one-dimensional":[50],"to":[52,71,99],"characterize":[53,72],"molecular":[55,69],"chemistry,":[56],"then":[58],"a":[59],"three-dimensional":[60],"based":[64],"on":[65],"knowledge":[67],"mechanics":[70],"physical":[74],"properties":[75],"molecule.":[78],"On":[79],"basis,":[81],"different":[85],"dimensions":[86],"integrated,":[88],"quadratic":[91,95],"programming":[92],"with":[94],"constraints":[96],"solved":[98],"obtain":[100],"optimal":[102],"combination.":[104],"experimental":[106],"results":[107],"show":[108],"that":[109],"has":[113],"better":[114],"performance":[115],"than":[116],"prior":[118],"technology,":[119],"outperforms":[122],"existing":[124],"algorithm.":[125]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T06:19:23.411458","created_date":"2025-10-10T00:00:00"}