{"id":"https://openalex.org/W4416922881","doi":"https://doi.org/10.1109/tcbbio.2025.3639487","title":"EPILOGUE: Multi-View Graph Contrastive Learning for Gene Function Prediction","display_name":"EPILOGUE: Multi-View Graph Contrastive Learning for Gene Function Prediction","publication_year":2025,"publication_date":"2025-12-02","ids":{"openalex":"https://openalex.org/W4416922881","doi":"https://doi.org/10.1109/tcbbio.2025.3639487","pmid":"https://pubmed.ncbi.nlm.nih.gov/41329596"},"language":"en","primary_location":{"id":"doi:10.1109/tcbbio.2025.3639487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbbio.2025.3639487","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043","2998-4165"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5027675259","display_name":"Yue Zhang","orcid":"https://orcid.org/0000-0001-5435-7871"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Zhang","raw_affiliation_strings":["Department of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5435-7871","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuting Bai","orcid":"https://orcid.org/0009-0002-1319-4054"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuting Bai","raw_affiliation_strings":["Department of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0002-1319-4054","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086722917","display_name":"Endai Guo","orcid":"https://orcid.org/0009-0004-0319-9593"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Endai Guo","raw_affiliation_strings":["Department of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Department of Computer Science and Engineering, South China University of Technology, Guangdong, China"],"raw_orcid":"https://orcid.org/0009-0004-0319-9593","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, South China University of Technology, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103239435","display_name":"Yi Liao","orcid":"https://orcid.org/0009-0007-4577-8501"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Liao","raw_affiliation_strings":["Department of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Department of Computer Science and Engineering, South China University of Technology, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, South China University of Technology, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074955796","display_name":"Kening Zhao","orcid":"https://orcid.org/0000-0001-8322-391X"},"institutions":[{"id":"https://openalex.org/I4210103346","display_name":"Nanfang Hospital","ror":"https://ror.org/01eq10738","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210103346"]},{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kening Zhao","raw_affiliation_strings":["Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I4210103346","https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001203027","display_name":"Weitian Huang","orcid":"https://orcid.org/0000-0001-8848-4801"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weitian Huang","raw_affiliation_strings":["School of Future Technology, South China University of Technology, Guangzhou, Guangdong, China","School of Future Technology, South China University of Technology, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0001-8848-4801","affiliations":[{"raw_affiliation_string":"School of Future Technology, South China University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Future Technology, South China University of Technology, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046396291","display_name":"Hongmin Cai","orcid":"https://orcid.org/0000-0002-2747-7234"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongmin Cai","raw_affiliation_strings":["School of Future Technology, South China University of Technology, Guangzhou, Guangdong, China","School of Future Technology, South China University of Technology, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0002-2747-7234","affiliations":[{"raw_affiliation_string":"School of Future Technology, South China University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Future Technology, South China University of Technology, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"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":0.22831701,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":"1","first_page":"211","last_page":"223"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9593999981880188,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9593999981880188,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.015399999916553497,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.005400000140070915,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6363999843597412},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5123000144958496},{"id":"https://openalex.org/keywords/protein-function-prediction","display_name":"Protein function prediction","score":0.5099999904632568},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.4893999993801117},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.3978999853134155},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.3725000023841858},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.35420000553131104},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3481000065803528},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3345000147819519}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6852999925613403},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6363999843597412},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6152999997138977},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5123000144958496},{"id":"https://openalex.org/C207060522","wikidata":"https://www.wikidata.org/wiki/Q7251473","display_name":"Protein function prediction","level":4,"score":0.5099999904632568},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.4893999993801117},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4284000098705292},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.3978999853134155},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38109999895095825},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3725000023841858},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.35420000553131104},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3481000065803528},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3345000147819519},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.33230000734329224},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.3192000091075897},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.3075999915599823},{"id":"https://openalex.org/C28225019","wikidata":"https://www.wikidata.org/wiki/Q4915005","display_name":"Biological network","level":2,"score":0.30489999055862427},{"id":"https://openalex.org/C201797286","wikidata":"https://www.wikidata.org/wiki/Q4914986","display_name":"Biological data","level":2,"score":0.303600013256073},{"id":"https://openalex.org/C67339327","wikidata":"https://www.wikidata.org/wiki/Q1502576","display_name":"Gene regulatory network","level":4,"score":0.30160000920295715},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.28859999775886536},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.2815999984741211},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2750999927520752},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2709999978542328},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2547999918460846}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D030541","descriptor_name":"Databases, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030541","descriptor_name":"Databases, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058977","descriptor_name":"Molecular Sequence Annotation","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D058977","descriptor_name":"Molecular Sequence Annotation","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcbbio.2025.3639487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbbio.2025.3639487","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043","2998-4165"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},{"id":"pmid:41329596","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41329596","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":"IEEE transactions on computational biology and bioinformatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G357971821","display_name":null,"funder_award_id":"62325204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3929862760","display_name":null,"funder_award_id":"U21A20520","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8649144982","display_name":null,"funder_award_id":"62172112","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"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":39,"referenced_works":["https://openalex.org/W1987219048","https://openalex.org/W2074490119","https://openalex.org/W2076836712","https://openalex.org/W2086607080","https://openalex.org/W2103017472","https://openalex.org/W2105924489","https://openalex.org/W2124649441","https://openalex.org/W2125118217","https://openalex.org/W2133299088","https://openalex.org/W2137917513","https://openalex.org/W2138312771","https://openalex.org/W2161444669","https://openalex.org/W2166468869","https://openalex.org/W2556519015","https://openalex.org/W2788816357","https://openalex.org/W2810986024","https://openalex.org/W2907492528","https://openalex.org/W2951422523","https://openalex.org/W2962756421","https://openalex.org/W2997686727","https://openalex.org/W3012918605","https://openalex.org/W3014623641","https://openalex.org/W3082034060","https://openalex.org/W3108655343","https://openalex.org/W3134013259","https://openalex.org/W3138479716","https://openalex.org/W3145990216","https://openalex.org/W3146944767","https://openalex.org/W4212836561","https://openalex.org/W4220796987","https://openalex.org/W4223909865","https://openalex.org/W4239055561","https://openalex.org/W4239510810","https://openalex.org/W4291020291","https://openalex.org/W4293282039","https://openalex.org/W4300861664","https://openalex.org/W4308834893","https://openalex.org/W4327550249","https://openalex.org/W4385245566"],"related_works":[],"abstract_inverted_index":{"The":[0],"integration":[1],"of":[2,101,128],"biological":[3,119],"networks":[4,34,93],"provides":[5],"crucial":[6],"support":[7],"for":[8,85,106,161],"accurate":[9,107],"gene":[10,86,104,162],"function":[11,87,163],"prediction,":[12],"a":[13,65,79],"task":[14],"that":[15,143],"aims":[16],"to":[17,20,36,40,68],"assign":[18],"genes":[19],"corresponding":[21],"functional":[22,108],"categories":[23],"through":[24],"computational":[25],"methods.":[26],"However,":[27],"existing":[28],"approaches":[29],"struggle":[30],"with":[31,94],"multi-source":[32],"heterogeneous":[33],"due":[35],"their":[37],"limited":[38],"ability":[39],"capture":[41],"complex":[42],"nonlinear":[43],"dependencies.":[44],"Contrastive":[45],"learning,":[46,96],"which":[47],"captures":[48],"data":[49],"distributions":[50],"by":[51],"measuring":[52],"similarities":[53],"and":[54,124,135],"dissimilarities":[55],"between":[56],"samples,":[57],"can":[58],"generate":[59],"semantically":[60,158],"rich":[61,159],"feature":[62],"representations,":[63],"offering":[64,118],"new":[66],"approach":[67],"address":[69],"the":[70,99,126,139],"aforementioned":[71],"issues.":[72],"In":[73],"this":[74],"work,":[75],"we":[76],"propose":[77],"EPILOGUE,":[78],"multi-view":[80],"graph":[81,91],"contrastive":[82,95],"learning":[83,127,157],"framework":[84],"prediction.":[88],"By":[89],"integrating":[90],"neural":[92],"EPILOGUE":[97,144],"enables":[98],"extraction":[100],"high-quality,":[102],"discriminative":[103],"representations":[105,160],"annotation.":[109,164],"Additionally,":[110],"protein":[111],"sequences":[112],"are":[113],"used":[114],"as":[115],"node":[116],"features,":[117],"information":[120],"beyond":[121],"network":[122],"topology":[123],"supporting":[125],"comprehensive":[129],"semantic":[130],"representations.":[131],"Experiments":[132],"on":[133],"yeast":[134],"human":[136],"datasets":[137],"from":[138],"STRING":[140],"database":[141],"demonstrate":[142],"outperforms":[145],"nine":[146],"state-of-the-art":[147],"methods":[148],"across":[149],"six":[150],"evaluation":[151],"metrics,":[152],"validating":[153],"its":[154],"effectiveness":[155],"in":[156]},"counts_by_year":[],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-12-02T00:00:00"}