{"id":"https://openalex.org/W7126100135","doi":"https://doi.org/10.1109/bibm66473.2025.11356491","title":"Synergnn: A Synergistic Graph Neural Network Fusing Database Knowledge and Cohort-Specific Patterns for Cross-Cohort Survival Analysis","display_name":"Synergnn: A Synergistic Graph Neural Network Fusing Database Knowledge and Cohort-Specific Patterns for Cross-Cohort Survival Analysis","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126100135","doi":"https://doi.org/10.1109/bibm66473.2025.11356491"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356491","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356491","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 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/A5124131062","display_name":"Tianze Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianze Sun","raw_affiliation_strings":["The School of Computer Science and Technology, Harbin Institute of Technology,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The School of Computer Science and Technology, Harbin Institute of Technology,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124183118","display_name":"Jilong Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116723","display_name":"Robotics Research (United States)","ror":"https://ror.org/020w2fr77","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116723"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jilong Guo","raw_affiliation_strings":["The College of Intelligent Robotics and Advanced Manufacturing Fudan University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The College of Intelligent Robotics and Advanced Manufacturing Fudan University,China","institution_ids":["https://openalex.org/I4210116723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052061239","display_name":"Amin Song","orcid":"https://orcid.org/0009-0009-6001-5718"},"institutions":[{"id":"https://openalex.org/I132210918","display_name":"North China Institute of Science and Technology","ror":"https://ror.org/0096c7651","country_code":"CN","type":"education","lineage":["https://openalex.org/I132210918"]},{"id":"https://openalex.org/I4210119087","display_name":"North China Institute of Aerospace Engineering","ror":"https://ror.org/02m7msy24","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aoxiang Song","raw_affiliation_strings":["The School of Aerospace Engineering, North China Institute of Aerospace Engineering,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The School of Aerospace Engineering, North China Institute of Aerospace Engineering,China","institution_ids":["https://openalex.org/I4210119087","https://openalex.org/I132210918"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102952987","display_name":"Lijun Xie","orcid":"https://orcid.org/0000-0002-3618-8549"},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]},{"id":"https://openalex.org/I4210149540","display_name":"Beijing Proteome Research Center","ror":"https://ror.org/05pp5b412","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210149540"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linhai Xie","raw_affiliation_strings":["National Center for Protein Sciences (Beijing), Research Unit of Proteomics Driven Cancer Precision Medicine(Chinese Academy of Medical Sciences),The State Key Laboratory of Medical Proteomics,Beijing,China,102206"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Center for Protein Sciences (Beijing), Research Unit of Proteomics Driven Cancer Precision Medicine(Chinese Academy of Medical Sciences),The State Key Laboratory of Medical Proteomics,Beijing,China,102206","institution_ids":["https://openalex.org/I200296433","https://openalex.org/I4210149540"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"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":0.68907282,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1825","last_page":"1830"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11297","display_name":"Ferroptosis and cancer prognosis","score":0.3208000063896179,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T11297","display_name":"Ferroptosis and cancer prognosis","score":0.3208000063896179,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.27140000462532043,"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/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.11550000309944153,"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/generalizability-theory","display_name":"Generalizability theory","score":0.6625000238418579},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6227999925613403},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4927999973297119},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45820000767707825},{"id":"https://openalex.org/keywords/biological-network","display_name":"Biological network","score":0.3698999881744385},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.34880000352859497},{"id":"https://openalex.org/keywords/imperfect","display_name":"Imperfect","score":0.34790000319480896},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.30649998784065247}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6820999979972839},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.6625000238418579},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6227999925613403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.541100025177002},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5024999976158142},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4927999973297119},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4745999872684479},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45820000767707825},{"id":"https://openalex.org/C28225019","wikidata":"https://www.wikidata.org/wiki/Q4915005","display_name":"Biological network","level":2,"score":0.3698999881744385},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.34880000352859497},{"id":"https://openalex.org/C2780310539","wikidata":"https://www.wikidata.org/wiki/Q12547192","display_name":"Imperfect","level":2,"score":0.34790000319480896},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.30649998784065247},{"id":"https://openalex.org/C201797286","wikidata":"https://www.wikidata.org/wiki/Q4914986","display_name":"Biological data","level":2,"score":0.3021000027656555},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.2985999882221222},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.296999990940094},{"id":"https://openalex.org/C160798450","wikidata":"https://www.wikidata.org/wiki/Q4230870","display_name":"Concordance","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.27399998903274536},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C146380142","wikidata":"https://www.wikidata.org/wiki/Q1137726","display_name":"Directed graph","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.25220000743865967},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356491","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356491","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.7273877263069153}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1987370132","https://openalex.org/W1998767819","https://openalex.org/W2052825782","https://openalex.org/W2187162482","https://openalex.org/W2624701078","https://openalex.org/W2753919178","https://openalex.org/W2789172526","https://openalex.org/W2899016929","https://openalex.org/W2912868343","https://openalex.org/W2916574240","https://openalex.org/W2943368962","https://openalex.org/W3014599079","https://openalex.org/W3208025421","https://openalex.org/W3216814744","https://openalex.org/W4231254854","https://openalex.org/W4306167888","https://openalex.org/W4306406844","https://openalex.org/W4323036825","https://openalex.org/W4383893453","https://openalex.org/W4384130791","https://openalex.org/W4386031249","https://openalex.org/W4391549774","https://openalex.org/W4392874417","https://openalex.org/W4406298433"],"related_works":[],"abstract_inverted_index":{"The":[0],"poor":[1],"generalizability":[2],"of":[3,14,45,134,182],"survival":[4,193],"prediction":[5],"models,":[6],"stemming":[7],"from":[8,36,94,108,124],"the":[9,43,95,100,122,132,135,140,159,180],"high-dimensional":[10],"and":[11,139,164],"heterogeneous":[12],"nature":[13],"transcriptomic":[15,192],"data,":[16],"severely":[17],"limits":[18],"their":[19],"clinical":[20,46],"application.":[21],"A":[22],"promising":[23],"strategy":[24],"is":[25,54],"to":[26,129],"incorporate":[27],"prior":[28,138,184],"knowledge,":[29],"yet":[30,77],"this":[31,61],"presents":[32],"a":[33,66,83,105,117,154,174,188],"dilemma:":[34],"knowledge":[35,50,79,185],"biological":[37,137],"databases":[38],"(e.g.,":[39,51],"Reactome)":[40],"often":[41],"mismatches":[42],"complexity":[44],"tumors,":[47],"while":[48],"data-driven":[49,106],"gene":[52],"correlations)":[53],"confounded":[55],"by":[56],"cohort-specific":[57],"noise.":[58],"To":[59],"address":[60],"challenge,":[62],"we":[63],"propose":[64],"SynerGNN,":[65],"Synergistic":[67],"Graph":[68],"Neural":[69],"Network":[70],"that":[71,151,177],"intelligently":[72],"fuses":[73,121],"these":[74,125],"two":[75,126],"imperfect":[76],"complementary":[78],"sources.":[80],"SynerGNN":[81,152],"features":[82],"dual-stream":[84],"graph":[85,107],"construction":[86],"process.":[87],"One":[88],"stream":[89,102],"embeds":[90],"robust":[91],"topological":[92],"structures":[93],"Reactome":[96],"knowledgebase.":[97],"In":[98],"parallel,":[99],"other":[101],"adaptively":[103],"builds":[104],"cohortspecific":[109],"expression":[110],"patterns":[111],"after":[112],"prognostic":[113],"biomarker":[114],"selection.":[115],"Subsequently,":[116],"dynamic":[118],"attention":[119],"mechanism":[120],"representations":[123],"streams,":[127],"learning":[128],"dynamically":[130],"balance":[131],"contributions":[133],"stable":[136],"context-specific":[141],"data":[142],"evidence.":[143],"Evaluations":[144],"on":[145],"multiple":[146],"public":[147],"cancer":[148],"datasets":[149],"show":[150],"achieves":[153],"significant":[155],"average":[156],"improvement":[157],"in":[158,168],"concordance":[160],"index":[161],"(C":[162],"-index)":[163],"demonstrates":[165],"superior":[166],"robustness":[167],"cross-cohort":[169],"validation.":[170],"Our":[171],"work":[172],"provides":[173],"novel":[175],"framework":[176],"effectively":[178],"navigates":[179],"limitations":[181],"different":[183],"sources,":[186],"offering":[187],"generalizable":[189],"solution":[190],"for":[191],"analysis.":[194]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-01-30T00:00:00"}