{"id":"https://openalex.org/W2911306712","doi":"https://doi.org/10.1109/bibm.2018.8621520","title":"Protein Family Classification with Multi-Layer Graph Convolutional Networks","display_name":"Protein Family Classification with Multi-Layer Graph Convolutional Networks","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2911306712","doi":"https://doi.org/10.1109/bibm.2018.8621520","mag":"2911306712"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2018.8621520","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621520","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103980637","display_name":"Da Zhang","orcid":"https://orcid.org/0009-0007-6280-7458"},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Da Zhang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Miami"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Miami","institution_ids":["https://openalex.org/I145608581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038550961","display_name":"Mansur R. Kabuka","orcid":"https://orcid.org/0000-0003-2516-7942"},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mansur R. Kabuka","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Miami"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Miami","institution_ids":["https://openalex.org/I145608581"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145608581"],"apc_list":null,"apc_paid":null,"fwci":7.5153,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.97292746,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2390","last_page":"2393"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9997000098228455,"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/T10044","display_name":"Protein Structure and Dynamics","score":0.9980000257492065,"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":0.6378048658370972},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5547512769699097},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5182654857635498},{"id":"https://openalex.org/keywords/protein-family","display_name":"Protein family","score":0.5156001448631287},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.4978063106536865},{"id":"https://openalex.org/keywords/protein-function-prediction","display_name":"Protein function prediction","score":0.4542366862297058},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.34420812129974365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30380240082740784},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.29442930221557617},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.26075661182403564},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.1976964771747589},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.15079060196876526},{"id":"https://openalex.org/keywords/protein-function","display_name":"Protein function","score":0.10335800051689148}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6378048658370972},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5547512769699097},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5182654857635498},{"id":"https://openalex.org/C171897839","wikidata":"https://www.wikidata.org/wiki/Q417841","display_name":"Protein family","level":3,"score":0.5156001448631287},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.4978063106536865},{"id":"https://openalex.org/C207060522","wikidata":"https://www.wikidata.org/wiki/Q7251473","display_name":"Protein function prediction","level":4,"score":0.4542366862297058},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.34420812129974365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30380240082740784},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.29442930221557617},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26075661182403564},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.1976964771747589},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.15079060196876526},{"id":"https://openalex.org/C2986374874","wikidata":"https://www.wikidata.org/wiki/Q8054","display_name":"Protein function","level":3,"score":0.10335800051689148}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2018.8621520","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621520","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1019830208","https://openalex.org/W1501531009","https://openalex.org/W1982267716","https://openalex.org/W2104804534","https://openalex.org/W2171464043","https://openalex.org/W2253430994","https://openalex.org/W2319227129","https://openalex.org/W2336509392","https://openalex.org/W2519887557","https://openalex.org/W2549717400","https://openalex.org/W2793168264","https://openalex.org/W2807818025","https://openalex.org/W2914425291","https://openalex.org/W2949434355","https://openalex.org/W2952218450","https://openalex.org/W2964015378","https://openalex.org/W2964257300","https://openalex.org/W6702957758","https://openalex.org/W6726873649","https://openalex.org/W6759557624"],"related_works":["https://openalex.org/W2119410807","https://openalex.org/W3207928532","https://openalex.org/W2108768153","https://openalex.org/W2125494000","https://openalex.org/W1914481269","https://openalex.org/W2800194647","https://openalex.org/W1568915309","https://openalex.org/W3035561473","https://openalex.org/W2169356867","https://openalex.org/W2584692412"],"abstract_inverted_index":{"Next-generation":[0],"sequencing":[1],"techniques":[2],"provide":[3],"us":[4],"with":[5,24,74,107],"an":[6],"opportunity":[7],"for":[8],"generating":[9],"sequenced":[10],"proteins":[11,28,37,110],"and":[12,17,81,128],"identifying":[13],"the":[14,20,35,94,113,125],"biological":[15],"families":[16,60],"functions":[18],"of":[19,30,34,65,115,124],"proteins.":[21,68],"However,":[22,42],"compared":[23],"identified":[25],"proteins,":[26],"uncharacterized":[27],"consist":[29],"a":[31,62,78,102],"notable":[32],"percentage":[33],"predicted":[36],"in":[38],"bioinformatics":[39],"research":[40],"field.":[41],"previous":[43],"clustering":[44],"based":[45],"algorithms":[46],"heavily":[47],"relying":[48],"on":[49,101],"large":[50],"data":[51,73],"samples":[52],"are":[53],"not":[54],"accurate":[55,80],"enough":[56],"to":[57,111],"assign":[58],"protein":[59,72,76,83,116,130],"given":[61],"small":[63],"amount":[64],"family":[66,84,117],"annotated":[67,75],"Therefore,":[69],"considering":[70],"limited":[71,108],"families,":[77],"more":[79],"faster":[82],"prediction":[85],"method":[86],"is":[87],"required.":[88],"In":[89],"this":[90],"paper,":[91],"we":[92],"apply":[93],"Multi-layer":[95],"Graph":[96],"Convolutional":[97],"Networks":[98],"(GCN)":[99],"architecture":[100],"Protein-Protein":[103],"Interaction":[104],"(PPI)":[105],"network":[106,126],"characterized":[109],"explore":[112],"performance":[114],"classification":[118],"by":[119],"taking":[120],"into":[121],"account":[122],"both":[123],"topology":[127],"physicochemical":[129],"amino":[131],"acid":[132],"features.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}