{"id":"https://openalex.org/W7126047239","doi":"https://doi.org/10.1109/bibm66473.2025.11356109","title":"GE-MFAT: Heterogeneous Graph Feature Transfer with Focusing Attention for Protein-Metabolite Interaction Prediction","display_name":"GE-MFAT: Heterogeneous Graph Feature Transfer with Focusing Attention for Protein-Metabolite Interaction Prediction","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126047239","doi":"https://doi.org/10.1109/bibm66473.2025.11356109"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356109","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/A5124154661","display_name":"Yuzhi 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":true,"raw_author_name":"Yuzhi Sun","raw_affiliation_strings":["School of Computer Science, Harbin Institute of Technology,Harbin,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Harbin Institute of Technology,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124229663","display_name":"Renjie Liu","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":"Renjie Liu","raw_affiliation_strings":["School of Computer Science, Harbin Institute of Technology,Harbin,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Harbin Institute of Technology,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361500","display_name":"Liyuan Zhang","orcid":"https://orcid.org/0000-0001-7811-8437"},"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":"Liyuan Zhang","raw_affiliation_strings":["School of Computer Science, Harbin Institute of Technology,Harbin,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Harbin Institute of Technology,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":null,"display_name":"Tianyi Zhao","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":"Tianyi Zhao","raw_affiliation_strings":["School of Medicine and Health, Harbin Institute of Technology,Harbin,China"],"affiliations":[{"raw_affiliation_string":"School of Medicine and Health, Harbin Institute of Technology,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5124154661"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.65157706,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7719","last_page":"7726"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.8188999891281128,"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":0.8188999891281128,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.09730000048875809,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.029600000008940697,"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/graph","display_name":"Graph","score":0.5597000122070312},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.490200012922287},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48899999260902405},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4625000059604645},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4578000009059906},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.4327999949455261},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.35589998960494995}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7444999814033508},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6220999956130981},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5781000256538391},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5597000122070312},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.490200012922287},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48899999260902405},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4625000059604645},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4578000009059906},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.4327999949455261},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.35589998960494995},{"id":"https://openalex.org/C11804247","wikidata":"https://www.wikidata.org/wiki/Q896177","display_name":"Protein\u2013protein interaction","level":2,"score":0.3305000066757202},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.3228999972343445},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30239999294281006},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.2922999858856201},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27000001072883606},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.26910001039505005},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.2531999945640564}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356109","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":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321940","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1542791059","https://openalex.org/W1964439982","https://openalex.org/W2041399392","https://openalex.org/W2048776985","https://openalex.org/W2063227009","https://openalex.org/W2067252347","https://openalex.org/W2098539276","https://openalex.org/W2105482032","https://openalex.org/W2122922389","https://openalex.org/W2131347449","https://openalex.org/W2140946052","https://openalex.org/W2156521589","https://openalex.org/W2159887157","https://openalex.org/W2395579298","https://openalex.org/W2470673105","https://openalex.org/W2516773138","https://openalex.org/W2748169822","https://openalex.org/W2801733864","https://openalex.org/W2898727287","https://openalex.org/W2907492528","https://openalex.org/W2913340405","https://openalex.org/W2944379307","https://openalex.org/W2985331920","https://openalex.org/W2994268592","https://openalex.org/W3014805132","https://openalex.org/W3108133122","https://openalex.org/W3126698360","https://openalex.org/W3134958209","https://openalex.org/W3163396627","https://openalex.org/W3166330342","https://openalex.org/W3174652091","https://openalex.org/W3214970447","https://openalex.org/W4226363157","https://openalex.org/W4309506674","https://openalex.org/W4318692623","https://openalex.org/W4411669755"],"related_works":[],"abstract_inverted_index":{"Protein":[0],"metabolite":[1],"interactions":[2],"(PMIs)":[3],"play":[4],"a":[5,63,73],"crucial":[6],"role":[7],"in":[8],"cellular":[9],"homeostasis,":[10],"supporting":[11],"drug":[12],"development":[13],"and":[14,46,48,52,90],"revealing":[15],"biological":[16],"processes.":[17],"Traditional":[18],"detection":[19],"methods":[20,105],"are":[21],"constrained":[22],"by":[23],"resource":[24],"limitations,":[25],"making":[26],"large-scale":[27],"PMI":[28,36,80],"identification":[29],"challenging.":[30],"Existing":[31],"machine":[32],"learning":[33,86],"approaches":[34],"for":[35],"prediction":[37],"often":[38],"fail":[39],"to":[40,77,87],"capture":[41],"correlation":[42],"features":[43],"between":[44],"proteins":[45],"metabolites":[47],"struggle":[49],"with":[50,72],"crossspecies":[51],"batch":[53,91],"effect":[54,92],"problems.":[55],"We":[56],"propose":[57],"GCN":[58],"Embedding-Multihead":[59],"Focusing":[60],"Attention":[61],"(GE-MFAT),":[62],"novel":[64],"method":[65],"that":[66,100],"combines":[67],"heterogeneous":[68],"graph":[69],"neural":[70],"networks":[71],"focusing":[74],"attention":[75],"mechanism":[76],"extract":[78],"complex":[79],"relationships.":[81],"Our":[82],"model":[83],"employs":[84],"transfer":[85],"address":[88],"cross-species":[89],"challenges.":[93],"Experimental":[94],"results":[95],"across":[96,106],"three":[97],"datasets":[98],"demonstrate":[99],"GE-MFAT":[101],"significantly":[102],"outperforms":[103],"state-of-the-art":[104],"all":[107],"evaluation":[108],"metrics.":[109]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-30T00:00:00"}