{"id":"https://openalex.org/W3107609030","doi":"https://doi.org/10.1186/s12859-020-03899-3","title":"CGINet: graph convolutional network-based model for identifying chemical-gene interaction in an integrated multi-relational graph","display_name":"CGINet: graph convolutional network-based model for identifying chemical-gene interaction in an integrated multi-relational graph","publication_year":2020,"publication_date":"2020-11-26","ids":{"openalex":"https://openalex.org/W3107609030","doi":"https://doi.org/10.1186/s12859-020-03899-3","mag":"3107609030","pmid":"https://pubmed.ncbi.nlm.nih.gov/33243142"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-020-03899-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-020-03899-3","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-020-03899-3","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-020-03899-3","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100392089","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-8180-2886"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha, 410073, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044053690","display_name":"Xi Yang","orcid":"https://orcid.org/0000-0001-7925-3323"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Yang","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha, 410073, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054335730","display_name":"Chengkun Wu","orcid":"https://orcid.org/0000-0002-9688-5311"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chengkun Wu","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha, 410073, China. chengkun_wu@nudt.edu.cn","State Key Laboratory of High-Performance Computing, National University of Defense Technology, Changsha, 410073, China. chengkun_wu@nudt.edu.cn","College of Computer, National University of Defense Technology, Changsha, 410073, China"],"raw_orcid":"https://orcid.org/0000-0002-9688-5311","affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, 410073, China. chengkun_wu@nudt.edu.cn","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"State Key Laboratory of High-Performance Computing, National University of Defense Technology, Changsha, 410073, China. chengkun_wu@nudt.edu.cn","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101044975","display_name":"Canqun Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Canqun Yang","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha, 410073, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, 410073, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5054335730"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":2790,"currency":"USD","value_usd":2790},"apc_paid":{"value":2790,"currency":"USD","value_usd":2790},"fwci":0.8201,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.70620627,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"21","issue":"1","first_page":"544","last_page":"544"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.46799999475479126,"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":0.46799999475479126,"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":0.4178999960422516,"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":0.07590000331401825,"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/computer-science","display_name":"Computer science","score":0.6259018182754517},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6074707508087158},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.49769189953804016},{"id":"https://openalex.org/keywords/gene-regulatory-network","display_name":"Gene regulatory network","score":0.4911300837993622},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.47645998001098633},{"id":"https://openalex.org/keywords/statistical-relational-learning","display_name":"Statistical relational learning","score":0.44022250175476074},{"id":"https://openalex.org/keywords/gene-interaction","display_name":"Gene interaction","score":0.42708122730255127},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.3628677725791931},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.3317539393901825},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3026573359966278},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.28048819303512573},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.21555805206298828},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.14115217328071594},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.1083492636680603}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6259018182754517},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6074707508087158},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.49769189953804016},{"id":"https://openalex.org/C67339327","wikidata":"https://www.wikidata.org/wiki/Q1502576","display_name":"Gene regulatory network","level":4,"score":0.4911300837993622},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.47645998001098633},{"id":"https://openalex.org/C177877439","wikidata":"https://www.wikidata.org/wiki/Q7604413","display_name":"Statistical relational learning","level":3,"score":0.44022250175476074},{"id":"https://openalex.org/C2991772755","wikidata":"https://www.wikidata.org/wiki/Q751748","display_name":"Gene interaction","level":3,"score":0.42708122730255127},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3628677725791931},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.3317539393901825},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3026573359966278},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.28048819303512573},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.21555805206298828},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.14115217328071594},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.1083492636680603},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004843","descriptor_name":"Epistasis, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004843","descriptor_name":"Epistasis, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004843","descriptor_name":"Epistasis, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12859-020-03899-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-020-03899-3","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-020-03899-3","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:33243142","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33243142","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":"BMC bioinformatics","raw_type":null},{"id":"pmh:oai:doaj.org/article:5421e280aa544546a777082ab236338a","is_oa":true,"landing_page_url":"https://doaj.org/article/5421e280aa544546a777082ab236338a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, Vol 21, Iss 1, Pp 1-17 (2020)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7689985","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7689985","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12859-020-03899-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-020-03899-3","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-020-03899-3","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2449171418","display_name":null,"funder_award_id":"2018YFB1003203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4135978206","display_name":null,"funder_award_id":"U1811462","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5169721444","display_name":null,"funder_award_id":"201901","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8616888495","display_name":null,"funder_award_id":"201901-11","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3107609030.pdf","grobid_xml":"https://content.openalex.org/works/W3107609030.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1813117265","https://openalex.org/W1964590497","https://openalex.org/W2012438480","https://openalex.org/W2018740272","https://openalex.org/W2029757179","https://openalex.org/W2067772266","https://openalex.org/W2078841894","https://openalex.org/W2093217622","https://openalex.org/W2105668062","https://openalex.org/W2108119513","https://openalex.org/W2108543631","https://openalex.org/W2129835674","https://openalex.org/W2153579005","https://openalex.org/W2166550586","https://openalex.org/W2264831043","https://openalex.org/W2399976582","https://openalex.org/W2402144811","https://openalex.org/W2407258532","https://openalex.org/W2519887557","https://openalex.org/W2528907418","https://openalex.org/W2586637063","https://openalex.org/W2620444760","https://openalex.org/W2753953057","https://openalex.org/W2771798633","https://openalex.org/W2786016794","https://openalex.org/W2804057010","https://openalex.org/W2809216727","https://openalex.org/W2883380892","https://openalex.org/W2883749461","https://openalex.org/W2895889524","https://openalex.org/W2896646632","https://openalex.org/W2899788782","https://openalex.org/W2913694513","https://openalex.org/W2916047525","https://openalex.org/W2943642947","https://openalex.org/W2948035163","https://openalex.org/W2952522777","https://openalex.org/W2962756421","https://openalex.org/W2962783553","https://openalex.org/W2972503196","https://openalex.org/W2980895577","https://openalex.org/W3003893414","https://openalex.org/W3006428138","https://openalex.org/W3019246273","https://openalex.org/W3019745511","https://openalex.org/W3024482787","https://openalex.org/W3104097132","https://openalex.org/W4299823361","https://openalex.org/W6601955380","https://openalex.org/W6829887170"],"related_works":["https://openalex.org/W2780318934","https://openalex.org/W1963483824","https://openalex.org/W3004256870","https://openalex.org/W2142915034","https://openalex.org/W2135329546","https://openalex.org/W2982110971","https://openalex.org/W1557813139","https://openalex.org/W2365477676","https://openalex.org/W2904117628","https://openalex.org/W4386086518"],"abstract_inverted_index":{"BACKGROUND:":[0],"Elucidation":[1],"of":[2,10,68,123,134],"interactive":[3],"relation":[4],"between":[5,172],"chemicals":[6,173],"and":[7,72,92,112,154,174,192,216,231],"genes":[8,175],"is":[9,84,95],"key":[11],"relevance":[12],"not":[13],"only":[14],"for":[15,25,56,119],"discovering":[16],"new":[17],"drug":[18,21],"leads":[19],"in":[20,43,60,224],"development":[22],"but":[23,169],"also":[24],"repositioning":[26],"existing":[27],"drugs":[28],"to":[29,40,85,96,115,166,234],"novel":[30],"therapeutic":[31],"targets.":[32],"Recently,":[33],"biological":[34],"network-based":[35,54],"approaches":[36],"have":[37],"been":[38],"proven":[39],"be":[41],"effective":[42],"predicting":[44],"chemical-gene":[45,58,162,210],"interactions.":[46,163,211],"RESULTS:":[47],"We":[48,74,164,183],"present":[49],"CGINet,":[50],"a":[51,90,98],"graph":[52,64,88],"convolutional":[53],"method":[55],"identifying":[57,209],"interactions":[59],"an":[61,148],"integrated":[62],"multi-relational":[63],"containing":[65],"three":[66,185],"types":[67],"nodes:":[69],"chemicals,":[70],"genes,":[71],"pathways.":[73],"investigate":[75],"two":[76],"different":[77],"perspectives":[78],"on":[79,208],"learning":[80,122,225],"node":[81,103,126,229],"embeddings.":[82],"One":[83],"view":[86,100],"the":[87,93,108,116,131,138,143,152,155,199,213,217],"as":[89,176,178],"whole,":[91],"other":[94],"adopt":[97],"subgraph":[99,118,214],"that":[101,151],"initial":[102],"embeddings":[104,230],"are":[105,157],"learned":[106],"from":[107],"binary":[109],"association":[110],"subgraphs":[111],"then":[113],"transferred":[114],"multi-interaction":[117],"more":[120,227],"focused":[121],"higher-level":[124],"target":[125,135],"representations.":[127],"Besides,":[128,212],"we":[129],"reconstruct":[130],"topological":[132],"structures":[133],"nodes":[136],"with":[137,160,189,195],"latent":[139,218],"links":[140],"captured":[141],"by":[142],"designed":[144],"substructures.":[145],"CGINet":[146],"adopts":[147],"end-to-end":[149],"way":[150],"encoder":[153],"decoder":[156],"trained":[158],"jointly":[159],"known":[161],"aim":[165],"predict":[167],"unknown":[168],"potential":[170],"associations":[171],"well":[177],"their":[179],"interaction":[180],"types.":[181],"CONCLUSIONS:":[182],"study":[184],"model":[186],"implementations":[187],"CGINet-1/2/3":[188],"various":[190],"components":[191],"compare":[193],"them":[194],"baseline":[196],"approaches.":[197],"As":[198],"experimental":[200],"results":[201],"suggest,":[202],"our":[203],"models":[204],"exhibit":[205],"competitive":[206],"performances":[207],"perspective":[215],"link":[219],"both":[220],"play":[221],"positive":[222],"roles":[223],"much":[226],"informative":[228],"can":[232],"lead":[233],"improved":[235],"prediction.":[236]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
