{"id":"https://openalex.org/W3133933212","doi":"https://doi.org/10.3390/s21061938","title":"Gated Graph Attention Network for Cancer Prediction","display_name":"Gated Graph Attention Network for Cancer Prediction","publication_year":2021,"publication_date":"2021-03-10","ids":{"openalex":"https://openalex.org/W3133933212","doi":"https://doi.org/10.3390/s21061938","mag":"3133933212","pmid":"https://pubmed.ncbi.nlm.nih.gov/33801894"},"language":"en","primary_location":{"id":"doi:10.3390/s21061938","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21061938","pdf_url":"https://www.mdpi.com/1424-8220/21/6/1938/pdf?version=1615534618","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/6/1938/pdf?version=1615534618","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074316400","display_name":"Linling Qiu","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linling Qiu","raw_affiliation_strings":["School of Informatics, Xiamen University, Xiamen 361001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, Xiamen 361001, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100452585","display_name":"Han Li","orcid":"https://orcid.org/0000-0002-3344-8691"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Li","raw_affiliation_strings":["School of Informatics, Xiamen University, Xiamen 361001, China"],"raw_orcid":"https://orcid.org/0000-0002-3344-8691","affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, Xiamen 361001, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102946484","display_name":"Meihong Wang","orcid":"https://orcid.org/0000-0001-8639-7675"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Meihong Wang","raw_affiliation_strings":["School of Informatics, Xiamen University, Xiamen 361001, China"],"raw_orcid":"https://orcid.org/0000-0001-8639-7675","affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, Xiamen 361001, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100456913","display_name":"Xiaoli Wang","orcid":"https://orcid.org/0000-0002-8677-9080"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoli Wang","raw_affiliation_strings":["School of Informatics, Xiamen University, Xiamen 361001, China"],"raw_orcid":"https://orcid.org/0000-0002-8677-9080","affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, Xiamen 361001, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102946484"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.6792,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.86649844,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"21","issue":"6","first_page":"1938","last_page":"1938"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9951000213623047,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9951000213623047,"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"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9911999702453613,"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":0.9909999966621399,"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":0.7332963347434998},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6106924414634705},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.591181218624115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5907434225082397},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5527676939964294},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5269630551338196},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4065755009651184},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.14479830861091614}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7332963347434998},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6106924414634705},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.591181218624115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5907434225082397},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5527676939964294},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5269630551338196},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4065755009651184},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.14479830861091614}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s21061938","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21061938","pdf_url":"https://www.mdpi.com/1424-8220/21/6/1938/pdf?version=1615534618","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:33801894","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33801894","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:0c22c85041bd4e2294c0bb073411090a","is_oa":true,"landing_page_url":"https://doaj.org/article/0c22c85041bd4e2294c0bb073411090a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 21, Iss 6, p 1938 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/6/1938/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21061938","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 21; Issue 6; Pages: 1938","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7998488","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7998488","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21061938","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21061938","pdf_url":"https://www.mdpi.com/1424-8220/21/6/1938/pdf?version=1615534618","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8399999737739563,"display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G2778051744","display_name":null,"funder_award_id":"61702432","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6773090684","display_name":null,"funder_award_id":"2019H0001","funder_id":"https://openalex.org/F4320323190","funder_display_name":"Fujian Provincial Department of Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323190","display_name":"Fujian Provincial Department of Science and Technology","ror":"https://ror.org/00rgzpv08"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3133933212.pdf","grobid_xml":"https://content.openalex.org/works/W3133933212.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1487447453","https://openalex.org/W1504515363","https://openalex.org/W1520054289","https://openalex.org/W1539305204","https://openalex.org/W1547400538","https://openalex.org/W1967833456","https://openalex.org/W1983768439","https://openalex.org/W2015743308","https://openalex.org/W2103592462","https://openalex.org/W2104595151","https://openalex.org/W2118669478","https://openalex.org/W2143426320","https://openalex.org/W2157331557","https://openalex.org/W2168404696","https://openalex.org/W2238134668","https://openalex.org/W2407309269","https://openalex.org/W2558748708","https://openalex.org/W2576490506","https://openalex.org/W2703760928","https://openalex.org/W2746217632","https://openalex.org/W2766453196","https://openalex.org/W2791942584","https://openalex.org/W2805261411","https://openalex.org/W2889646458","https://openalex.org/W2909082165","https://openalex.org/W2914383167","https://openalex.org/W2919115771","https://openalex.org/W2950635152","https://openalex.org/W2964897044","https://openalex.org/W2969259882","https://openalex.org/W2969790209","https://openalex.org/W2971692138","https://openalex.org/W2972935357","https://openalex.org/W2988856610","https://openalex.org/W2997511728","https://openalex.org/W3022568007","https://openalex.org/W3026063446","https://openalex.org/W3036962145","https://openalex.org/W3041169526","https://openalex.org/W3042405885","https://openalex.org/W3045029128","https://openalex.org/W3102417241","https://openalex.org/W3103895001","https://openalex.org/W4234039248","https://openalex.org/W4285719527","https://openalex.org/W4400898962","https://openalex.org/W6714135696","https://openalex.org/W6777244642"],"related_works":["https://openalex.org/W2391251536","https://openalex.org/W2961085424","https://openalex.org/W2362198218","https://openalex.org/W2380784125","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W3004057759","https://openalex.org/W2375008505","https://openalex.org/W2889085215","https://openalex.org/W2914806737"],"abstract_inverted_index":{"With":[0],"its":[1],"increasing":[2],"incidence,":[3],"cancer":[4,34,81,124],"has":[5],"become":[6],"one":[7],"of":[8,12,57,68,113],"the":[9,46,53,71,80,87,111,120,144,155],"main":[10],"causes":[11],"worldwide":[13],"mortality.":[14],"In":[15,61],"this":[16,62],"work,":[17],"we":[18,89],"mainly":[19],"propose":[20,90],"a":[21,37,91],"novel":[22],"attention-based":[23],"neural":[24,139,158],"network":[25,31,140,159],"model":[26],"named":[27],"Gated":[28],"Graph":[29],"ATtention":[30],"(GGAT)":[32],"for":[33,78],"prediction,":[35],"where":[36],"gating":[38],"mechanism":[39,48],"(GM)":[40],"is":[41,66],"introduced":[42],"to":[43,50,85,96,132,148,154],"work":[44],"with":[45],"attention":[47],"(AM),":[49],"break":[51],"through":[52],"previous":[54],"work's":[55],"limitation":[56],"1-hop":[58],"neighbourhood":[59],"reasoning.":[60],"way,":[63],"our":[64,114,116],"GGAT":[65,118],"capable":[67],"fully":[69],"mining":[70],"potential":[72],"correlation":[73],"between":[74],"related":[75],"samples,":[76],"helping":[77],"improving":[79],"prediction":[82,108,125],"accuracy.":[83,109],"Additionally,":[84],"simplify":[86],"datasets,":[88],"hybrid":[92],"feature":[93],"selection":[94],"algorithm":[95],"strictly":[97],"select":[98],"gene":[99],"features,":[100],"which":[101],"significantly":[102],"reduces":[103],"training":[104],"time":[105],"without":[106],"affecting":[107],"To":[110],"best":[112],"knowledge,":[115],"proposed":[117],"achieves":[119],"state-of-the-art":[121,156],"results":[122],"in":[123],"task":[126],"on":[127,150],"LIHC,":[128],"LUAD,":[129],"KIRC":[130],"compared":[131,153],"other":[133],"traditional":[134],"machine":[135],"learning":[136],"methods":[137],"and":[138,142],"models,":[141],"improves":[143],"accuracy":[145],"by":[146],"1%":[147],"2%":[149],"Cora":[151],"dataset,":[152],"graph":[157],"methods.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
