{"id":"https://openalex.org/W3127211888","doi":"https://doi.org/10.1109/bibm49941.2020.9313099","title":"Multi-task Based Few-Shot Learning for Disease Similarity Measurement","display_name":"Multi-task Based Few-Shot Learning for Disease Similarity Measurement","publication_year":2020,"publication_date":"2020-12-16","ids":{"openalex":"https://openalex.org/W3127211888","doi":"https://doi.org/10.1109/bibm49941.2020.9313099","mag":"3127211888"},"language":"en","primary_location":{"id":"doi:10.1109/bibm49941.2020.9313099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313099","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5060720664","display_name":"Jianliang Gao","orcid":"https://orcid.org/0000-0002-9363-9908"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianliang Gao","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101528338","display_name":"Ling Tian","orcid":"https://orcid.org/0000-0002-0707-119X"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Tian","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385833","display_name":"Yuxin Liu","orcid":"https://orcid.org/0000-0002-8632-2910"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxin Liu","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100438360","display_name":"Jianxin Wang","orcid":"https://orcid.org/0000-0003-1516-0480"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxin Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032277491","display_name":"Zhao Li","orcid":"https://orcid.org/0000-0002-5056-0351"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Li","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101569679","display_name":"Xiaohua Hu","orcid":"https://orcid.org/0000-0002-4777-3022"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaohua Hu","raw_affiliation_strings":["College of Computing & Informatics, Drexel University, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"College of Computing & Informatics, Drexel University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I72816309"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5060720664"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":0.1657,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51207754,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"263","last_page":"268"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9993000030517578,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9993000030517578,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9962999820709229,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9830999970436096,"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/computer-science","display_name":"Computer science","score":0.7324888706207275},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7214863300323486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6298590898513794},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.609224259853363},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5879308581352234},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5669970512390137},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5489627718925476},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.451806902885437},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.441361665725708},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.12014031410217285}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7324888706207275},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7214863300323486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6298590898513794},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.609224259853363},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5879308581352234},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5669970512390137},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5489627718925476},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.451806902885437},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.441361665725708},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.12014031410217285},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm49941.2020.9313099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313099","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320313559","display_name":"CERN","ror":"https://ror.org/01ggx4157"},{"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":22,"referenced_works":["https://openalex.org/W202767273","https://openalex.org/W1647729745","https://openalex.org/W1984789788","https://openalex.org/W2054674225","https://openalex.org/W2117805756","https://openalex.org/W2128049108","https://openalex.org/W2143076797","https://openalex.org/W2565684601","https://openalex.org/W2725922920","https://openalex.org/W2767699072","https://openalex.org/W2963233928","https://openalex.org/W2963877604","https://openalex.org/W2974235162","https://openalex.org/W3004469949","https://openalex.org/W3004675504","https://openalex.org/W3032490310","https://openalex.org/W4402776467","https://openalex.org/W6608056421","https://openalex.org/W6636975626","https://openalex.org/W6677712588","https://openalex.org/W6745620410","https://openalex.org/W6750189243"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4230611425","https://openalex.org/W2731899572","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W4383066092","https://openalex.org/W2375480909","https://openalex.org/W3215138031","https://openalex.org/W3000197790"],"abstract_inverted_index":{"To":[0,72],"identify":[1],"and":[2],"explore":[3],"the":[4,28,37,47,51,75,92,124,134,141],"similarities":[5],"between":[6,116,126],"diseases":[7,31,68,117],"is":[8],"of":[9,19,30,40,50,77,101],"great":[10],"significance":[11],"for":[12,96],"u":[13],"nderstanding":[14],"t":[15],"he":[16],"pathogenic":[17],"mechanisms":[18],"emerging":[20],"complex":[21],"diseases.":[22],"Some":[23],"methods":[24,148],"try":[25],"to":[26,65,90],"measure":[27],"similarity":[29,98,115],"through":[32],"deep":[33],"learning":[34,132],"models.":[35,52],"However,":[36],"insufficient":[38,78],"number":[39,79],"labelled":[41,82,102,111],"similar":[42,67,83],"disease":[43,84,97,127],"pairs":[44],"cannot":[45],"support":[46],"optimal":[48],"training":[49,103,112,152],"In":[53],"this":[54],"paper,":[55],"we":[56,86],"propose":[57],"a":[58],"Multi-Task":[59],"Graph":[60],"Neural":[61],"Network":[62],"(MTGNN)":[63],"framework":[64],"retrieve":[66],"by":[69,105,122,144],"few-shot":[70],"learning.":[71],"deal":[73],"with":[74,146],"problem":[76],"o":[80],"f":[81],"pairs,":[85],"design":[87],"double":[88,135],"tasks":[89],"optimize":[91],"graph":[93],"neural":[94],"network":[95],"task":[99,109],"(lack":[100],"data)":[104],"introducing":[106],"link":[107],"prediction":[108],"(sufficient":[110],"data).":[113],"The":[114,137],"can":[118],"then":[119],"be":[120],"obtained":[121],"measuring":[123],"distance":[125],"embeddings":[128],"in":[129],"high-dimensional":[130],"space":[131],"from":[133],"tasks.":[136],"experiment":[138],"results":[139],"illustrate":[140],"overall":[142],"effectiveness":[143],"comparing":[145],"prior":[147],"on":[149],"few":[150],"labeled":[151],"dataset.":[153]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}