{"id":"https://openalex.org/W3034288498","doi":"https://doi.org/10.1145/3397271.3401214","title":"MGNN: A Multimodal Graph Neural Network for Predicting the Survival of Cancer Patients","display_name":"MGNN: A Multimodal Graph Neural Network for Predicting the Survival of Cancer Patients","publication_year":2020,"publication_date":"2020-07-25","ids":{"openalex":"https://openalex.org/W3034288498","doi":"https://doi.org/10.1145/3397271.3401214","mag":"3034288498"},"language":"en","primary_location":{"id":"doi:10.1145/3397271.3401214","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397271.3401214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval","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":["Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007255322","display_name":"Tengfei Lyu","orcid":"https://orcid.org/0000-0002-2158-0740"},"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":"Tengfei Lyu","raw_affiliation_strings":["Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113662062","display_name":"Fan Xiong","orcid":null},"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":"Fan Xiong","raw_affiliation_strings":["Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"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":["Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101031461","display_name":"Weimao Ke","orcid":"https://orcid.org/0000-0002-9961-5827"},"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":"Weimao Ke","raw_affiliation_strings":["Drexel University, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"Drexel University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I72816309"]}]},{"author_position":"last","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"]}]}],"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":4.1193,"has_fulltext":false,"cited_by_count":70,"citation_normalized_percentile":{"value":0.95554327,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1697","last_page":"1700"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9970999956130981,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9894999861717224,"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/bipartite-graph","display_name":"Bipartite graph","score":0.7080718278884888},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6099687218666077},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5390886664390564},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49436116218566895},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4491975009441376},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4413454532623291},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.4261763095855713},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36682891845703125},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36659860610961914},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.2898883521556854},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.21643155813217163},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12745150923728943}],"concepts":[{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.7080718278884888},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6099687218666077},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5390886664390564},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49436116218566895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4491975009441376},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4413454532623291},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.4261763095855713},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36682891845703125},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36659860610961914},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.2898883521556854},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.21643155813217163},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12745150923728943},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3397271.3401214","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397271.3401214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1994307947","https://openalex.org/W2041652340","https://openalex.org/W2115156326","https://openalex.org/W2755012395","https://openalex.org/W2791015340","https://openalex.org/W2798329844","https://openalex.org/W2922004938","https://openalex.org/W2943162041","https://openalex.org/W2945827670","https://openalex.org/W2954499361","https://openalex.org/W2955329901","https://openalex.org/W3100278010"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2371352078","https://openalex.org/W2953461625","https://openalex.org/W2077383796","https://openalex.org/W2080136900","https://openalex.org/W2999799752","https://openalex.org/W2372768926","https://openalex.org/W2054458431","https://openalex.org/W2115167491","https://openalex.org/W2567825307"],"abstract_inverted_index":{"Predicting":[0],"the":[1,41,65,71,87,106,118,147,155,159],"survival":[2,31,123,127],"of":[3,43,89,114,120],"cancer":[4,30,136,152],"patients":[5,75],"holds":[6],"significant":[7],"meaning":[8],"for":[9,29,128],"public":[10],"health,":[11],"and":[12,54,76,154],"has":[13],"attracted":[14],"increasing":[15],"attention":[16],"in":[17,57],"medical":[18],"information":[19],"communities.":[20],"In":[21,61],"this":[22],"study,":[23],"we":[24,68,145],"propose":[25],"a":[26,58,97],"novel":[27],"framework":[28],"prediction":[32],"named":[33],"Multimodal":[34],"Graph":[35],"Neural":[36],"Network":[37],"(MGNN),":[38],"which":[39],"explores":[40],"features":[42,107],"real-world":[44],"multimodual":[45],"data":[46,56],"such":[47],"as":[48],"gene":[49],"expression,":[50],"copy":[51],"number":[52],"alteration":[53],"clinical":[55],"unified":[59],"framework.":[60],"order":[62],"to":[63,85,104],"explore":[64],"inherent":[66],"relation,":[67],"first":[69],"construct":[70],"bipartite":[72,94],"graphs":[73],"between":[74],"multimodal":[77,98],"data.":[78,111],"Subsequently,":[79],"graph":[80],"neural":[81,100],"network":[82],"is":[83,102,117],"adopted":[84],"obtain":[86],"embedding":[88],"each":[90,129],"patient":[91],"on":[92,133,150],"different":[93,109],"graphs.":[95],"Finally,":[96],"fusion":[99],"layer":[101],"designed":[103],"fuse":[105],"from":[108],"modal":[110],"The":[112],"output":[113],"our":[115],"method":[116],"classification":[119],"short":[121],"term":[122,126],"or":[124],"long":[125],"patient.":[130],"Experimental":[131],"results":[132,157],"one":[134],"breast":[135],"dataset":[137],"demonstrate":[138],"that":[139],"MGNN":[140],"outperforms":[141],"all":[142],"baselines.":[143],"Furthermore,":[144],"test":[146],"trained":[148],"model":[149],"lung":[151],"dataset,":[153],"experimental":[156],"verify":[158],"strong":[160],"robust":[161],"by":[162],"comparing":[163],"with":[164],"state-of-the-art":[165],"methods.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-24T08:02:53.985720","created_date":"2025-10-10T00:00:00"}
