{"id":"https://openalex.org/W4387714134","doi":"https://doi.org/10.1145/3614008.3614027","title":"A Graph Neural Network with Multiple Auxiliary Tasks for Accurate Single Cell Classication","display_name":"A Graph Neural Network with Multiple Auxiliary Tasks for Accurate Single Cell Classication","publication_year":2023,"publication_date":"2023-07-14","ids":{"openalex":"https://openalex.org/W4387714134","doi":"https://doi.org/10.1145/3614008.3614027"},"language":"en","primary_location":{"id":"doi:10.1145/3614008.3614027","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3614008.3614027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Signal Processing and Machine Learning (SPML)","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/A5101626084","display_name":"Liu Shuan","orcid":"https://orcid.org/0009-0002-0880-3724"},"institutions":[{"id":"https://openalex.org/I4210159676","display_name":"Zaozhuang University","ror":"https://ror.org/05x21tp94","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210159676"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu-An Liu","raw_affiliation_strings":["School of Information Science and Engineering, Zaozhuang University, China"],"raw_orcid":"https://orcid.org/0009-0002-0880-3724","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Zaozhuang University, China","institution_ids":["https://openalex.org/I4210159676"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100454714","display_name":"Pengyong Han","orcid":null},"institutions":[{"id":"https://openalex.org/I198959115","display_name":"Changzhi Medical College","ror":"https://ror.org/0340wst14","country_code":"CN","type":"education","lineage":["https://openalex.org/I198959115"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng-Yong Han","raw_affiliation_strings":["Central Lab, Changzhi Medical College, China"],"raw_orcid":"https://orcid.org/0000-0002-0017-0785","affiliations":[{"raw_affiliation_string":"Central Lab, Changzhi Medical College, China","institution_ids":["https://openalex.org/I198959115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000726522","display_name":"hua hu","orcid":"https://orcid.org/0009-0000-0306-7137"},"institutions":[{"id":"https://openalex.org/I4210159676","display_name":"Zaozhuang University","ror":"https://ror.org/05x21tp94","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210159676"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Hu","raw_affiliation_strings":["School of Information Science and Engineering, Zaozhuang University, China"],"raw_orcid":"https://orcid.org/0009-0000-0306-7137","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Zaozhuang University, China","institution_ids":["https://openalex.org/I4210159676"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007584947","display_name":"Bin Yang","orcid":"https://orcid.org/0000-0001-6879-7069"},"institutions":[{"id":"https://openalex.org/I4210159676","display_name":"Zaozhuang University","ror":"https://ror.org/05x21tp94","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210159676"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Yang","raw_affiliation_strings":["School of Information Science and Engineering, Zaozhuang University, China"],"raw_orcid":"https://orcid.org/0000-0001-6879-7069","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Zaozhuang University, China","institution_ids":["https://openalex.org/I4210159676"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064326792","display_name":"M. C. Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159676","display_name":"Zaozhuang University","ror":"https://ror.org/05x21tp94","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210159676"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng-Lin Liu","raw_affiliation_strings":["School of Information Science and Engineering, Zaozhuang University, China"],"raw_orcid":"https://orcid.org/0009-0000-9376-2394","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Zaozhuang University, China","institution_ids":["https://openalex.org/I4210159676"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100734156","display_name":"Zhengwei Li","orcid":"https://orcid.org/0000-0003-1644-1006"},"institutions":[{"id":"https://openalex.org/I4210159676","display_name":"Zaozhuang University","ror":"https://ror.org/05x21tp94","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210159676"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng-Wei Li","raw_affiliation_strings":["School of Information Science and Engineering, Zaozhuang University, China"],"raw_orcid":"https://orcid.org/0000-0003-1644-1006","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Zaozhuang University, China","institution_ids":["https://openalex.org/I4210159676"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29827842,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":null,"first_page":"124","last_page":"132"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9807999730110168,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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"}},{"id":"https://openalex.org/T10207","display_name":"Advanced biosensing and bioanalysis techniques","score":0.9790999889373779,"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/adjacency-matrix","display_name":"Adjacency matrix","score":0.7425312995910645},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7217251658439636},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5160191059112549},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4837060570716858},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4475755989551544},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4454876184463501},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44300779700279236},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33480116724967957},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32944542169570923},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.31757423281669617},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.12180811166763306}],"concepts":[{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.7425312995910645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7217251658439636},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5160191059112549},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4837060570716858},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4475755989551544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4454876184463501},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44300779700279236},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33480116724967957},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32944542169570923},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.31757423281669617},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.12180811166763306},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3614008.3614027","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3614008.3614027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Signal Processing and Machine Learning (SPML)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1813068103","https://openalex.org/W2335645803","https://openalex.org/W2523369352","https://openalex.org/W2526262591","https://openalex.org/W2562947047","https://openalex.org/W2605810679","https://openalex.org/W2756408590","https://openalex.org/W2790302372","https://openalex.org/W2796170779","https://openalex.org/W2799796757","https://openalex.org/W2801443765","https://openalex.org/W2801527818","https://openalex.org/W2809555276","https://openalex.org/W2810097927","https://openalex.org/W2887910040","https://openalex.org/W2894687190","https://openalex.org/W2897346235","https://openalex.org/W2900569176","https://openalex.org/W2907492528","https://openalex.org/W2907514116","https://openalex.org/W2959295202","https://openalex.org/W2964643116","https://openalex.org/W2967177832","https://openalex.org/W2971653850","https://openalex.org/W2995410603","https://openalex.org/W3006566541","https://openalex.org/W3035604179","https://openalex.org/W3122896853","https://openalex.org/W3132715010","https://openalex.org/W3135055261","https://openalex.org/W3180540559","https://openalex.org/W3217758554","https://openalex.org/W4205126801","https://openalex.org/W4317568173"],"related_works":["https://openalex.org/W2770593030","https://openalex.org/W3154990682","https://openalex.org/W2560201613","https://openalex.org/W2171975302","https://openalex.org/W2022352247","https://openalex.org/W4312219546","https://openalex.org/W2551731678","https://openalex.org/W2377538627","https://openalex.org/W2107220315","https://openalex.org/W1589637664"],"abstract_inverted_index":{"Single-cell":[0],"RNA":[1],"sequencing":[2],"(scRNA-seq)":[3],"data":[4,42],"provide":[5],"new":[6],"opportunities":[7],"for":[8,56,156,208],"many":[9],"research":[10],"directions":[11],"in":[12,130,256],"the":[13,21,62,75,93,103,111,114,123,128,131,143,151,158,162,172,178,185,194,198,205,220,231,248],"field":[14],"of":[15,18,23,105,113,147,184,234,250],"biology,":[16],"one":[17,138,153],"which":[19,73,98],"is":[20,86,90,99,154],"identification":[22,29],"cell":[24,28,57,186,210,257],"types.":[25],"However,":[26],"traditional":[27],"methods":[30,207],"are":[31],"time-consuming,":[32],"uneconomical,":[33],"complex,":[34],"and":[35,88,150,181,197,238,243],"difficult":[36],"to":[37,40,101,174],"be":[38],"applied":[39],"large":[41],"sets.":[43],"Here,":[44],"we":[45,60,109,189,264],"propose":[46],"a":[47,80],"graph":[48,83,94,164],"neural":[49,95],"network":[50,96],"with":[51,213],"multiple":[52],"auxiliary":[53,120,125,169,260],"tasks":[54,170,261],"(MATGNN)":[55],"classification.":[58,211,258],"First,":[59],"construct":[61],"adjacency":[63,132,252],"matrix":[64,133,253],"between":[65,77,84,134,145,165,254],"cells":[66,85,146,255],"based":[67],"on":[68,193,223],"their":[69],"gene":[70],"expression":[71],"data,":[72],"represents":[74],"interactions":[76,144],"cells.":[78,135,166],"Next,":[79],"complete":[81],"undirected":[82,163],"obtained":[87],"it":[89],"fed":[91],"into":[92,177],"model,":[97],"employed":[100],"aggregate":[102],"information":[104,129,141,160,180,183],"node's":[106],"neighborhood.":[107],"Then,":[108],"improve":[110],"robustness":[112],"proposed":[115],"model":[116,173],"through":[117],"three":[118,168],"different":[119],"tasks.":[121],"Specifically,":[122],"first":[124],"task":[126],"balances":[127],"The":[136],"second":[137],"captures":[139],"inherent":[140],"about":[142],"same":[148],"type":[149],"third":[152],"responsible":[155],"mining":[157],"structural":[159,179],"from":[161,270],"Those":[167],"enable":[171],"deeply":[175],"dig":[176],"link":[182],"graph.":[187],"Finally,":[188],"conduct":[190],"extensive":[191],"experiments":[192],"gold":[195],"datasets":[196,235],"results":[199],"indicate":[200],"that":[201,263],"our":[202,217,228],"models":[203],"outperform":[204],"state-of-the-art":[206,215],"single":[209],"Compared":[212],"other":[214],"methods,":[216],"method":[218,229],"achieves":[219],"highest":[221],"accuracy":[222,233],"most":[224],"datasets.":[225,272],"In":[226],"particular,":[227],"improves":[230],"classification":[232],"BaronMouse,":[236],"Segerstolpe":[237],"BaronHuman":[239],"by":[240],"0.5%,":[241],"1.2%$":[242],"0.7%,":[244],"respectively.":[245],"We":[246],"prove":[247],"effectiveness":[249],"establishing":[251],"Three":[259],"show":[262],"can":[265],"mine":[266],"more":[267],"cellular":[268],"properties":[269],"existing":[271]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
