{"id":"https://openalex.org/W4405179275","doi":"https://doi.org/10.1109/access.2024.3514163","title":"MFHG-DDI: An Enhanced Hybrid Graph Method Leveraging Multiple Features for Predicting Drug\u2013Drug Interactions","display_name":"MFHG-DDI: An Enhanced Hybrid Graph Method Leveraging Multiple Features for Predicting Drug\u2013Drug Interactions","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4405179275","doi":"https://doi.org/10.1109/access.2024.3514163"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3514163","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3514163","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3514163","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100330996","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0001-6023-8561"},"institutions":[{"id":"https://openalex.org/I31637741","display_name":"Inner Mongolia University of Science and Technology","ror":"https://ror.org/044rgx723","country_code":"CN","type":"education","lineage":["https://openalex.org/I31637741"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Li","raw_affiliation_strings":["School of Automation and Electrical Engineering, Inner Mongolia University of Science and Technology, Baotou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation and Electrical Engineering, Inner Mongolia University of Science and Technology, Baotou, China","institution_ids":["https://openalex.org/I31637741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032372768","display_name":"Xiangmin Ji","orcid":"https://orcid.org/0000-0002-4044-0989"},"institutions":[{"id":"https://openalex.org/I31637741","display_name":"Inner Mongolia University of Science and Technology","ror":"https://ror.org/044rgx723","country_code":"CN","type":"education","lineage":["https://openalex.org/I31637741"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangmin Ji","raw_affiliation_strings":["School of Automation and Electrical Engineering, Inner Mongolia University of Science and Technology, Baotou, China"],"raw_orcid":"https://orcid.org/0000-0002-4044-0989","affiliations":[{"raw_affiliation_string":"School of Automation and Electrical Engineering, Inner Mongolia University of Science and Technology, Baotou, China","institution_ids":["https://openalex.org/I31637741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075354732","display_name":"Chengzhen Xu","orcid":"https://orcid.org/0000-0003-3458-9493"},"institutions":[{"id":"https://openalex.org/I165859042","display_name":"Huaibei Normal University","ror":"https://ror.org/03ek23472","country_code":"CN","type":"education","lineage":["https://openalex.org/I165859042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengzhen Xu","raw_affiliation_strings":["School of Computer Science and Technology, Huaibei Normal University, Huaibei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huaibei Normal University, Huaibei, China","institution_ids":["https://openalex.org/I165859042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003292372","display_name":"Jie Hou","orcid":"https://orcid.org/0000-0001-5979-8852"},"institutions":[{"id":"https://openalex.org/I3018263800","display_name":"Huzhou University","ror":"https://ror.org/04mvpxy20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3018263800"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Hou","raw_affiliation_strings":["Public Teaching and Research Department, Huzhou College, Huzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5979-8852","affiliations":[{"raw_affiliation_string":"Public Teaching and Research Department, Huzhou College, Huzhou, China","institution_ids":["https://openalex.org/I3018263800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035142346","display_name":"X Zhao","orcid":"https://orcid.org/0000-0003-3904-7706"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoyu Zhao","raw_affiliation_strings":["Department of Mathematics and Computer Engineering, Ordos Institute of Technology, Ordos, China"],"raw_orcid":"https://orcid.org/0000-0003-3904-7706","affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Engineering, Ordos Institute of Technology, Ordos, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088510480","display_name":"Guodong Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I31637741","display_name":"Inner Mongolia University of Science and Technology","ror":"https://ror.org/044rgx723","country_code":"CN","type":"education","lineage":["https://openalex.org/I31637741"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guodong Peng","raw_affiliation_strings":["School of Automation and Electrical Engineering, Inner Mongolia University of Science and Technology, Baotou, China"],"raw_orcid":"https://orcid.org/0009-0005-1663-8062","affiliations":[{"raw_affiliation_string":"School of Automation and Electrical Engineering, Inner Mongolia University of Science and Technology, Baotou, China","institution_ids":["https://openalex.org/I31637741"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.2882,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6253705,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"12","issue":null,"first_page":"188424","last_page":"188434"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9998000264167786,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9420999884605408,"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/drug","display_name":"Drug","score":0.742002546787262},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7026240825653076},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4438701868057251},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.26929014921188354},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.10642418265342712},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.0838102400302887}],"concepts":[{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.742002546787262},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7026240825653076},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4438701868057251},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26929014921188354},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.10642418265342712},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0838102400302887}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3514163","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3514163","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a25c5c5a32e04e64a00ee87970049b7d","is_oa":true,"landing_page_url":"https://doaj.org/article/a25c5c5a32e04e64a00ee87970049b7d","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":"IEEE Access, Vol 12, Pp 188424-188434 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3514163","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3514163","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1274791374","display_name":null,"funder_award_id":"NJZY22208","funder_id":"https://openalex.org/F4320327830","funder_display_name":"Research Program of Science and Technology at Universities of Inner Mongolia Autonomous Region"},{"id":"https://openalex.org/G5309295871","display_name":null,"funder_award_id":"2023MS06011","funder_id":"https://openalex.org/F4320322868","funder_display_name":"Natural Science Foundation of Inner Mongolia"},{"id":"https://openalex.org/G6666065508","display_name":null,"funder_award_id":"2023MS06011","funder_id":"https://openalex.org/F4320329862","funder_display_name":"Natural Science Foundation of Tibet Autonomous Region"}],"funders":[{"id":"https://openalex.org/F4320322868","display_name":"Natural Science Foundation of Inner Mongolia","ror":null},{"id":"https://openalex.org/F4320327830","display_name":"Research Program of Science and Technology at Universities of Inner Mongolia Autonomous Region","ror":null},{"id":"https://openalex.org/F4320329862","display_name":"Natural Science Foundation of Tibet Autonomous Region","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1935711444","https://openalex.org/W1979845492","https://openalex.org/W1983660130","https://openalex.org/W2076629287","https://openalex.org/W2081313987","https://openalex.org/W2109482131","https://openalex.org/W2120317715","https://openalex.org/W2128043538","https://openalex.org/W2128758225","https://openalex.org/W2148659963","https://openalex.org/W2234741790","https://openalex.org/W2393319904","https://openalex.org/W2498201855","https://openalex.org/W2570516417","https://openalex.org/W2774112395","https://openalex.org/W2786016794","https://openalex.org/W2791005450","https://openalex.org/W2802200505","https://openalex.org/W2913067913","https://openalex.org/W2947596730","https://openalex.org/W2952522777","https://openalex.org/W2997021962","https://openalex.org/W2998807596","https://openalex.org/W3024894285","https://openalex.org/W3039265083","https://openalex.org/W3088680691","https://openalex.org/W3131758556","https://openalex.org/W3152355001","https://openalex.org/W3157889929","https://openalex.org/W3164864805","https://openalex.org/W4212906192","https://openalex.org/W4212966936","https://openalex.org/W4294908570","https://openalex.org/W4313405519","https://openalex.org/W4316669746","https://openalex.org/W4385969024","https://openalex.org/W4391737993","https://openalex.org/W4400271107","https://openalex.org/W6677295847"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Drug-drug":[0],"interactions":[1],"(DDIs)":[2],"can":[3,173],"severely":[4],"affect":[5],"patient":[6],"health":[7],"and":[8,58,93,112,154,186],"safety.":[9,193],"Predicting":[10],"potential":[11,189],"DDIs":[12,81],"before":[13],"administering":[14],"medication":[15],"to":[16,26,54,60,79,116,125,152,190],"patients":[17],"is":[18],"crucial":[19],"for":[20],"drug":[21,29,91,166,192],"development":[22],"as":[23,133],"it":[24],"helps":[25],"prevent":[27],"adverse":[28],"reactions.":[30],"Many":[31],"effective":[32],"DDI":[33,94,139,148,176],"prediction":[34,123,177],"methods":[35,45],"have":[36],"been":[37],"proposed":[38,157],"using":[39],"graph":[40,77,101,106,109,135,171],"neural":[41],"networks;":[42],"however,":[43],"these":[44],"only":[46],"aggregate":[47],"information":[48,140],"from":[49],"directly":[50],"connected":[51],"nodes":[52],"restricted":[53],"a":[55,86,105,122,134],"drug-related":[56],"manner":[57],"fail":[59],"capture":[61],"long-range":[62],"dependencies":[63],"in":[64],"heterogeneous":[65,87,131],"networks.":[66],"To":[67],"address":[68],"this":[69],"issue,":[70],"we":[71,84],"propose":[72],"an":[73,98,143],"enhanced":[74,99,144],"multiple-feature":[75],"hybrid":[76,100,145,170],"method":[78,172],"predict":[80,126],"(MFHG-DDI).":[82],"Specifically,":[83],"constructed":[85],"network":[88,132],"incorporating":[89],"multiple":[90,165],"features":[92,167],"information.":[95],"We":[96],"employed":[97],"module":[102],"that":[103,163],"integrates":[104],"convolutional":[107],"network,":[108,111],"attention":[110],"global":[113],"average":[114],"pooling":[115],"learn":[117],"latent":[118],"features,":[119],"ultimately":[120],"applying":[121],"function":[124],"DDIs.":[127],"MFHG-DDI":[128],"reframes":[129],"the":[130,156,169,175,180,188],"classification":[136],"task,":[137],"capturing":[138],"efficiently":[141],"through":[142],"graph.":[146],"Known":[147],"datasets":[149],"were":[150],"used":[151],"train":[153],"evaluate":[155],"model.":[158],"The":[159],"experimental":[160],"results":[161],"indicate":[162],"integrating":[164],"into":[168],"enhance":[174,191],"accuracy,":[178],"increases":[179],"success":[181],"rate":[182],"of":[183],"combination":[184],"therapy,":[185],"has":[187]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}