{"id":"https://openalex.org/W2559496224","doi":"https://doi.org/10.1145/2975167.2985687","title":"Sub-network Based Kernels for Brain Network Classification","display_name":"Sub-network Based Kernels for Brain Network Classification","publication_year":2016,"publication_date":"2016-10-02","ids":{"openalex":"https://openalex.org/W2559496224","doi":"https://doi.org/10.1145/2975167.2985687","mag":"2559496224"},"language":"en","primary_location":{"id":"doi:10.1145/2975167.2985687","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2975167.2985687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics","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/A5054044789","display_name":"Biao Jie","orcid":"https://orcid.org/0000-0002-3722-4935"},"institutions":[{"id":"https://openalex.org/I4472751","display_name":"Anhui Normal University","ror":"https://ror.org/05fsfvw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I4472751"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Biao Jie","raw_affiliation_strings":["Dept. of Computer Science and Technology, Anhui Normal University, Wuhu, China"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Technology, Anhui Normal University, Wuhu, China","institution_ids":["https://openalex.org/I4472751"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050560717","display_name":"Mingxia Liu","orcid":"https://orcid.org/0000-0002-0166-0807"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingxia Liu","raw_affiliation_strings":["Dept. of Computer Science and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026584447","display_name":"Xi Jiang","orcid":"https://orcid.org/0000-0003-3711-0847"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xi Jiang","raw_affiliation_strings":["Dept. of Computer Science, The University of Georgia, GA, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, The University of Georgia, GA, USA","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018821033","display_name":"Daoqiang Zhang","orcid":"https://orcid.org/0000-0002-5658-7643"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daoqiang Zhang","raw_affiliation_strings":["Dept. of Computer Science and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5054044789"],"corresponding_institution_ids":["https://openalex.org/I4472751"],"apc_list":null,"apc_paid":null,"fwci":0.4875,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.66985788,"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":"622","last_page":"629"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10009","display_name":"Dementia and Cognitive Impairment Research","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10086","display_name":"Alzheimer's disease research and treatments","score":0.9751999974250793,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7038415670394897},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6546248197555542},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5783241987228394},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5684511065483093},{"id":"https://openalex.org/keywords/graph-kernel","display_name":"Graph kernel","score":0.5423226952552795},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.49235761165618896},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.4747641086578369},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47424477338790894},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4727635979652405},{"id":"https://openalex.org/keywords/uniqueness","display_name":"Uniqueness","score":0.4568212628364563},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.4482835829257965},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38327065110206604},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36680787801742554},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.3458482027053833},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33892661333084106},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32978516817092896},{"id":"https://openalex.org/keywords/polynomial-kernel","display_name":"Polynomial kernel","score":0.2530536651611328},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20155543088912964},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1122245192527771},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.07265102863311768},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.0696234405040741}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7038415670394897},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6546248197555542},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5783241987228394},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5684511065483093},{"id":"https://openalex.org/C100595998","wikidata":"https://www.wikidata.org/wiki/Q11731931","display_name":"Graph kernel","level":5,"score":0.5423226952552795},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.49235761165618896},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.4747641086578369},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47424477338790894},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4727635979652405},{"id":"https://openalex.org/C2777021972","wikidata":"https://www.wikidata.org/wiki/Q22976830","display_name":"Uniqueness","level":2,"score":0.4568212628364563},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.4482835829257965},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38327065110206604},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36680787801742554},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.3458482027053833},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33892661333084106},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32978516817092896},{"id":"https://openalex.org/C160446489","wikidata":"https://www.wikidata.org/wiki/Q7226642","display_name":"Polynomial kernel","level":4,"score":0.2530536651611328},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20155543088912964},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1122245192527771},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.07265102863311768},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0696234405040741},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2975167.2985687","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2975167.2985687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8392224756","display_name":null,"funder_award_id":"61573023, 61422204, 61473149, 61473190","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1560724230","https://openalex.org/W1576213419","https://openalex.org/W1816257748","https://openalex.org/W1985932255","https://openalex.org/W1995571867","https://openalex.org/W2009391352","https://openalex.org/W2029835580","https://openalex.org/W2030637554","https://openalex.org/W2058046532","https://openalex.org/W2073347471","https://openalex.org/W2083415528","https://openalex.org/W2087938247","https://openalex.org/W2090668679","https://openalex.org/W2107726887","https://openalex.org/W2113708991","https://openalex.org/W2113792310","https://openalex.org/W2120546516","https://openalex.org/W2124824205","https://openalex.org/W2129652905","https://openalex.org/W2135509669","https://openalex.org/W2138991775","https://openalex.org/W2141724543","https://openalex.org/W2142498761","https://openalex.org/W2146089088","https://openalex.org/W2147286743","https://openalex.org/W2148004186","https://openalex.org/W2150176166","https://openalex.org/W2153635508","https://openalex.org/W2154054253","https://openalex.org/W2167822639","https://openalex.org/W2604272474","https://openalex.org/W2911738047","https://openalex.org/W3144619878","https://openalex.org/W4241735343"],"related_works":["https://openalex.org/W2574115973","https://openalex.org/W2043334680","https://openalex.org/W3099811568","https://openalex.org/W2078320823","https://openalex.org/W4285213554","https://openalex.org/W3008854474","https://openalex.org/W2098940859","https://openalex.org/W4401177601","https://openalex.org/W3044028388","https://openalex.org/W1515878412"],"abstract_inverted_index":{"In":[0],"brain":[1,30,47,62,76],"network":[2],"analysis,":[3],"a":[4,15,60,70,90],"challenging":[5],"problem":[6],"is":[7],"deciding":[8],"how":[9],"to":[10,59],"measure":[11],"the":[12,27,51,96],"similarity":[13,28],"between":[14,29],"pair":[16],"of":[17,46,53],"networks.":[18,31],"Recently,":[19],"graph":[20,34,102],"kernels":[21,35],"have":[22],"been":[23],"proposed":[24,97],"for":[25,75,81],"measuring":[26],"However,":[32],"existing":[33],"are":[36],"mainly":[37],"defined":[38],"on":[39,89],"general":[40],"graphs":[41],"that":[42,95],"ignores":[43],"specific":[44],"characteristics":[45],"networks,":[48],"such":[49],"as":[50],"uniqueness":[52],"nodes":[54],"(i.e.,":[55],"each":[56],"node":[57],"corresponds":[58],"unique":[61],"region).":[63],"Accordingly,":[64],"in":[65],"this":[66],"paper,":[67],"we":[68],"construct":[69],"novel":[71],"sub-network":[72],"based":[73,104],"kernel":[74,103],"networks":[77],"and":[78],"apply":[79],"it":[80],"mild":[82],"cognitive":[83],"impairment":[84],"(MCI)":[85],"classification.":[86],"Experimental":[87],"results":[88],"real":[91],"MCI":[92],"dataset":[93],"demonstrate":[94],"method":[98],"outperform":[99],"several":[100],"state-of-the-art":[101],"methods.":[105]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}