{"id":"https://openalex.org/W3090124255","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207667","title":"HLGSNet: Hierarchical and Lightweight Graph Siamese Network with Triplet Loss for fMRI-based Classification of ADHD","display_name":"HLGSNet: Hierarchical and Lightweight Graph Siamese Network with Triplet Loss for fMRI-based Classification of ADHD","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3090124255","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207667","mag":"3090124255"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","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/A5064646117","display_name":"Ranjeet Ranjan Jha","orcid":"https://orcid.org/0000-0001-8406-5167"},"institutions":[{"id":"https://openalex.org/I9579091","display_name":"Indian Institute of Technology Mandi","ror":"https://ror.org/05r9r2f34","country_code":"IN","type":"education","lineage":["https://openalex.org/I9579091"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ranjeet Ranjan Jha","raw_affiliation_strings":["School of Computing and Electrical Engineering, Indian Institute of Technology, Mandi, India"],"affiliations":[{"raw_affiliation_string":"School of Computing and Electrical Engineering, Indian Institute of Technology, Mandi, India","institution_ids":["https://openalex.org/I9579091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103245984","display_name":"Aditya Nigam","orcid":"https://orcid.org/0000-0003-4755-0619"},"institutions":[{"id":"https://openalex.org/I9579091","display_name":"Indian Institute of Technology Mandi","ror":"https://ror.org/05r9r2f34","country_code":"IN","type":"education","lineage":["https://openalex.org/I9579091"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aditya Nigam","raw_affiliation_strings":["School of Computing and Electrical Engineering, Indian Institute of Technology, Mandi, India"],"affiliations":[{"raw_affiliation_string":"School of Computing and Electrical Engineering, Indian Institute of Technology, Mandi, India","institution_ids":["https://openalex.org/I9579091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018647189","display_name":"Arnav Bhavsar","orcid":"https://orcid.org/0000-0003-2849-4375"},"institutions":[{"id":"https://openalex.org/I9579091","display_name":"Indian Institute of Technology Mandi","ror":"https://ror.org/05r9r2f34","country_code":"IN","type":"education","lineage":["https://openalex.org/I9579091"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arnav Bhavsar","raw_affiliation_strings":["School of Computing and Electrical Engineering, Indian Institute of Technology, Mandi, India"],"affiliations":[{"raw_affiliation_string":"School of Computing and Electrical Engineering, Indian Institute of Technology, Mandi, India","institution_ids":["https://openalex.org/I9579091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081558484","display_name":"Gaurav Jaswal","orcid":"https://orcid.org/0000-0002-3971-0160"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gaurav Jaswal","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Delhi, Delhi, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Delhi, Delhi, India","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103015436","display_name":"Sudhir Pathak","orcid":"https://orcid.org/0000-0001-6669-2263"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sudhir K Pathak","raw_affiliation_strings":["Learning Research and Development Center, University of Pittsburgh, Pittsburgh, USA"],"affiliations":[{"raw_affiliation_string":"Learning Research and Development Center, University of Pittsburgh, Pittsburgh, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004946196","display_name":"Rathish Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rathish Kumar","raw_affiliation_strings":["Department of Mathematics and Statistics, Indian Institute of Technology Kanpur, Kanpur, India"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Indian Institute of Technology Kanpur, Kanpur, India","institution_ids":["https://openalex.org/I94234084"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5064646117"],"corresponding_institution_ids":["https://openalex.org/I9579091"],"apc_list":null,"apc_paid":null,"fwci":0.5577,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.63672108,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9990000128746033,"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":0.9990000128746033,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9965000152587891,"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/T10537","display_name":"Attention Deficit Hyperactivity Disorder","score":0.9948999881744385,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6152393221855164},{"id":"https://openalex.org/keywords/attention-deficit-hyperactivity-disorder","display_name":"Attention deficit hyperactivity disorder","score":0.5809409618377686},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5660595297813416},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5423998236656189},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5023419857025146},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.49507251381874084},{"id":"https://openalex.org/keywords/schizophrenia","display_name":"Schizophrenia (object-oriented programming)","score":0.48886388540267944},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4822590947151184},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.47997236251831055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4716101288795471},{"id":"https://openalex.org/keywords/resting-state-fmri","display_name":"Resting state fMRI","score":0.4657139778137207},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3234894573688507},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2672361433506012},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.19789472222328186},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.16740867495536804},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.149440199136734},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12675684690475464}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6152393221855164},{"id":"https://openalex.org/C2780783007","wikidata":"https://www.wikidata.org/wiki/Q181923","display_name":"Attention deficit hyperactivity disorder","level":2,"score":0.5809409618377686},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5660595297813416},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5423998236656189},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5023419857025146},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.49507251381874084},{"id":"https://openalex.org/C2776412080","wikidata":"https://www.wikidata.org/wiki/Q7431605","display_name":"Schizophrenia (object-oriented programming)","level":2,"score":0.48886388540267944},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4822590947151184},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.47997236251831055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4716101288795471},{"id":"https://openalex.org/C66324658","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Resting state fMRI","level":2,"score":0.4657139778137207},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3234894573688507},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2672361433506012},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.19789472222328186},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.16740867495536804},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.149440199136734},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12675684690475464},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9207667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2008781224","https://openalex.org/W2051442296","https://openalex.org/W2058046532","https://openalex.org/W2112876062","https://openalex.org/W2122457251","https://openalex.org/W2141938647","https://openalex.org/W2169463832","https://openalex.org/W2340986419","https://openalex.org/W2591711955","https://openalex.org/W2746145198","https://openalex.org/W2765820969","https://openalex.org/W2805150194","https://openalex.org/W2896221000","https://openalex.org/W2903559662","https://openalex.org/W2907492528","https://openalex.org/W2921566855","https://openalex.org/W2922644959","https://openalex.org/W2953062348","https://openalex.org/W2966523470","https://openalex.org/W2974633867","https://openalex.org/W3003628688","https://openalex.org/W3008308968","https://openalex.org/W3011112283","https://openalex.org/W3015231647","https://openalex.org/W3016163744","https://openalex.org/W3021205377","https://openalex.org/W3022509920","https://openalex.org/W3217023769","https://openalex.org/W4210257598"],"related_works":["https://openalex.org/W4230045434","https://openalex.org/W4383566813","https://openalex.org/W2373853579","https://openalex.org/W2355039870","https://openalex.org/W3200742558","https://openalex.org/W1983030278","https://openalex.org/W2347609703","https://openalex.org/W2406918878","https://openalex.org/W4247174394","https://openalex.org/W2115711068"],"abstract_inverted_index":{"Attention":[0],"Deficit":[1],"Hyperactivity":[2],"Disorder":[3],"(ADHD)":[4],"is":[5,60,111],"a":[6,61,114,118,147],"behavior-based":[7],"disorder":[8],"that":[9,134],"mainly":[10],"occurs":[11],"in":[12,89],"young":[13],"children.":[14],"Resting-state":[15],"fMRI":[16],"data":[17],"have":[18,141,162],"been":[19,128,155,163],"very":[20],"popular":[21],"for":[22,130,136,157],"diagnosing":[23],"brain":[24,43,54],"disorders":[25,37],"like":[26],"Autism,":[27],"ADHD,":[28,67],"and":[29,45,55,92,95],"schizophrenia,":[30],"by":[31],"network-based":[32],"functional":[33],"connectivity,":[34],"since":[35],"these":[36],"are":[38,97],"associated":[39],"with":[40,75,99,124,146,171],"both":[41,90],"individual":[42],"regions":[44,51,85],"their":[46],"connections.":[47],"Finding":[48],"patterns":[49],"among":[50],"of":[52,66,102],"controls'":[53],"ADHD":[56],"patients'":[57],"discriminating":[58],"brains,":[59],"non-trivial":[62],"task.":[63,160],"For":[64],"classification":[65,159],"we":[68],"propose":[69],"an":[70],"end-to-end":[71],"lightweight":[72],"CNN":[73],"architecture":[74],"hierarchical":[76],"representation":[77],"learning":[78],"i.e.,":[79],"HLGSNet.":[80],"We":[81],"extract":[82],"116":[83],"anatomical":[84],"from":[86],"each":[87,109],"subject":[88],"normal":[91],"patient":[93],"conditions,":[94],"graphs":[96],"built":[98],"the":[100,137,151,158],"help":[101],"temporal":[103],"correlation":[104],"between":[105],"different":[106],"regions,":[107],"where":[108],"region":[110],"considered":[112],"as":[113],"node.":[115],"Following":[116],"this,":[117],"Siamese":[119],"graph":[120],"convolution":[121],"neural":[122],"network":[123],"triplet":[125],"loss":[126],"has":[127,154],"trained":[129,152],"finding":[131],"embeddings":[132],"so":[133],"samples":[135],"same":[138],"class":[139],"should":[140],"similar":[142],"embeddings.":[143],"Finally,":[144],"along":[145],"fully":[148],"connected":[149],"layer,":[150],"model":[153],"fine-tuned":[156],"Experiments":[161],"carried":[164],"out":[165],"on":[166],"publicly":[167],"available":[168],"ADHD-200":[169],"dataset":[170],"promising":[172],"performance.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
