{"id":"https://openalex.org/W3016165136","doi":"https://doi.org/10.1109/icassp40776.2020.9053711","title":"Supervised Graph Representation Learning for Modeling the Relationship between Structural and Functional Brain Connectivity","display_name":"Supervised Graph Representation Learning for Modeling the Relationship between Structural and Functional Brain Connectivity","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3016165136","doi":"https://doi.org/10.1109/icassp40776.2020.9053711","mag":"3016165136"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5036554015","display_name":"Yang Li","orcid":"https://orcid.org/0000-0002-3912-5420"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yang Li","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062141963","display_name":"Rasoul Shafipour","orcid":"https://orcid.org/0000-0002-2996-2671"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rasoul Shafipour","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006078163","display_name":"Gonzalo Mateos","orcid":"https://orcid.org/0000-0002-9847-6298"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gonzalo Mateos","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050808730","display_name":"Zhengwu Zhang","orcid":"https://orcid.org/0000-0002-9047-8838"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhengwu Zhang","raw_affiliation_strings":["Dept. of Biostatistics and Computational Biology, University of Rochester, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Biostatistics and Computational Biology, University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036554015"],"corresponding_institution_ids":["https://openalex.org/I5388228"],"apc_list":null,"apc_paid":null,"fwci":0.6693,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.65473826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"9065","last_page":"9069"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":1.0,"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":1.0,"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/T13283","display_name":"Mental Health Research Topics","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9927999973297119,"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":0.701095461845398},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6317642331123352},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5566617846488953},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5343657732009888},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5152771472930908},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4782670736312866},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4774744510650635},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.453514039516449}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.701095461845398},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6317642331123352},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5566617846488953},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5343657732009888},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5152771472930908},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4782670736312866},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4774744510650635},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.453514039516449},{"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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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:10.1109/icassp40776.2020.9053711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":50,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1662382123","https://openalex.org/W1996954170","https://openalex.org/W1999653836","https://openalex.org/W2048356340","https://openalex.org/W2061972221","https://openalex.org/W2081015195","https://openalex.org/W2089572795","https://openalex.org/W2095491050","https://openalex.org/W2101135654","https://openalex.org/W2117971276","https://openalex.org/W2131181615","https://openalex.org/W2163542677","https://openalex.org/W2163605009","https://openalex.org/W2163738200","https://openalex.org/W2167822639","https://openalex.org/W2187089797","https://openalex.org/W2558748708","https://openalex.org/W2737925311","https://openalex.org/W2774217687","https://openalex.org/W2793980368","https://openalex.org/W2796431263","https://openalex.org/W2798598284","https://openalex.org/W2919115771","https://openalex.org/W2936429014","https://openalex.org/W2962756421","https://openalex.org/W2963460103","https://openalex.org/W2963758681","https://openalex.org/W2964015378","https://openalex.org/W2964113829","https://openalex.org/W2964121744","https://openalex.org/W2964311892","https://openalex.org/W2964321699","https://openalex.org/W2964544183","https://openalex.org/W2977707586","https://openalex.org/W3003673246","https://openalex.org/W4210257598","https://openalex.org/W4293651439","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6637178625","https://openalex.org/W6684191040","https://openalex.org/W6685350579","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6741450815","https://openalex.org/W6744557953","https://openalex.org/W6807384801","https://openalex.org/W7066063085"],"related_works":["https://openalex.org/W2804057010","https://openalex.org/W2989955213","https://openalex.org/W4287391817","https://openalex.org/W3118281188","https://openalex.org/W3127111063","https://openalex.org/W2554952599","https://openalex.org/W4322614756","https://openalex.org/W4367684998","https://openalex.org/W4301416110","https://openalex.org/W4308080613"],"abstract_inverted_index":{"In":[0,57],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,25,97,104,126,140],"supervised":[6],"graph":[7,26,30,87,118,177],"representation":[8,178],"learning":[9,152,179],"method":[10],"to":[11,40,63,91,108,183],"model":[12,34,102,137,184],"the":[13,38,60,74,93,143,147,172],"relationship":[14],"between":[15,70],"brain":[16,71,164,181,186],"functional":[17],"connectivity":[18,22],"(FC)":[19],"and":[20,54,67,117,131,170,188],"structural":[21],"(SC)":[23],"through":[24],"encoder-decoder":[27],"system.":[28],"The":[29,123,161],"convolutional":[31],"network":[32,55,115],"(GCN)":[33],"is":[35],"leveraged":[36],"in":[37,73,146],"encoder":[39,61],"learn":[41,110],"lower-dimensional":[42],"node":[43,46,52,75,85,111],"representations":[44,88,112,119],"(i.e.":[45],"embeddings)":[47],"integrating":[48],"information":[49],"from":[50],"both":[51,65],"attributes":[53],"topology.":[56],"doing":[58],"so,":[59],"manages":[62],"capture":[64,155],"direct":[66],"indirect":[68],"interactions":[69],"regions":[72],"embeddings":[76],"which":[77],"later":[78],"help":[79],"reconstruct":[80],"empirical":[81],"FC":[82,114],"networks.":[83],"From":[84],"embeddings,":[86],"are":[89],"learnt":[90],"embed":[92],"entire":[94],"graphs":[95],"into":[96],"vector":[98],"space.":[99],"Our":[100],"end-to-end":[101],"utilizes":[103],"multi-objective":[105],"loss":[106],"function":[107],"simultaneously":[109],"for":[113,120,158],"reconstruction":[116],"subject":[121,159],"classification.":[122,160],"experiment":[124],"on":[125,180],"large":[127],"population":[128,144],"of":[129,142,175],"non-drinkers":[130],"heavy":[132],"drinkers":[133],"shows":[134],"that":[135,154],"our":[136],"can":[138],"provide":[139],"characterization":[141],"pattern":[145],"SC-FC":[148],"relationship,":[149],"while":[150],"also":[151],"features":[153],"individual":[156],"uniqueness":[157],"identified":[162],"key":[163],"subnetworks":[165],"show":[166],"significant":[167],"between-group":[168],"difference":[169],"support":[171],"promising":[173],"prospect":[174],"GCN-based":[176],"networks":[182],"human":[185],"activity":[187],"function.":[189]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}