{"id":"https://openalex.org/W7126014335","doi":"https://doi.org/10.1109/bibm66473.2025.11356403","title":"Dual-Stream Hierarchical Mixed-Routing Graph Attention Network Integrating ReAct Agent-Driven Embeddings for Phage-Host Interaction Prediction","display_name":"Dual-Stream Hierarchical Mixed-Routing Graph Attention Network Integrating ReAct Agent-Driven Embeddings for Phage-Host Interaction Prediction","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126014335","doi":"https://doi.org/10.1109/bibm66473.2025.11356403"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356403","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/A5003578876","display_name":"Song Jiang","orcid":"https://orcid.org/0000-0003-2151-0977"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Song Jiang","raw_affiliation_strings":["Central China Normal University,Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning,Wuhan,Hubei,PR China,430079"],"affiliations":[{"raw_affiliation_string":"Central China Normal University,Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning,Wuhan,Hubei,PR China,430079","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124279615","display_name":"Yue Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Huang","raw_affiliation_strings":["Central China Normal University,Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning,Wuhan,Hubei,PR China,430079"],"affiliations":[{"raw_affiliation_string":"Central China Normal University,Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning,Wuhan,Hubei,PR China,430079","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xianjun Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianjun Shen","raw_affiliation_strings":["Central China Normal University,Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning,Wuhan,Hubei,PR China,430079"],"affiliations":[{"raw_affiliation_string":"Central China Normal University,Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning,Wuhan,Hubei,PR China,430079","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5121420414","display_name":"Weizhong Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weizhong Zhao","raw_affiliation_strings":["Central China Normal University,Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning,Wuhan,Hubei,PR China,430079"],"affiliations":[{"raw_affiliation_string":"Central China Normal University,Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning,Wuhan,Hubei,PR China,430079","institution_ids":["https://openalex.org/I40963666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003578876"],"corresponding_institution_ids":["https://openalex.org/I40963666"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.83539688,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1705","last_page":"1708"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.22210000455379486,"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"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.22210000455379486,"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"}},{"id":"https://openalex.org/T11048","display_name":"Bacteriophages and microbial interactions","score":0.1501999944448471,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.0560000017285347,"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/graph","display_name":"Graph","score":0.5569000244140625},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.4799000024795532},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43709999322891235},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4345000088214874},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.34850001335144043},{"id":"https://openalex.org/keywords/power-graph-analysis","display_name":"Power graph analysis","score":0.34279999136924744},{"id":"https://openalex.org/keywords/biological-network","display_name":"Biological network","score":0.32829999923706055},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.3156000077724457}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7504000067710876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5698000192642212},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5569000244140625},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4799000024795532},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4494999945163727},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43709999322891235},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4345000088214874},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38029998540878296},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.34850001335144043},{"id":"https://openalex.org/C106937863","wikidata":"https://www.wikidata.org/wiki/Q7236518","display_name":"Power graph analysis","level":3,"score":0.34279999136924744},{"id":"https://openalex.org/C28225019","wikidata":"https://www.wikidata.org/wiki/Q4915005","display_name":"Biological network","level":2,"score":0.32829999923706055},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.3156000077724457},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.3111000061035156},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.30959999561309814},{"id":"https://openalex.org/C55105296","wikidata":"https://www.wikidata.org/wiki/Q841382","display_name":"Interaction network","level":3,"score":0.3082999885082245},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3003000020980835},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.2874999940395355},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.2773999869823456},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.25519999861717224}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356403","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":[{"id":"https://openalex.org/G3221909189","display_name":null,"funder_award_id":"62472192,62372205","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2559100382","https://openalex.org/W2962807110","https://openalex.org/W3215755691","https://openalex.org/W4206703149","https://openalex.org/W4220946048","https://openalex.org/W4226147938","https://openalex.org/W4285076853","https://openalex.org/W4360994011","https://openalex.org/W4391582532","https://openalex.org/W4402671950","https://openalex.org/W4404469665","https://openalex.org/W4405477484","https://openalex.org/W4406604086"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"prediction":[1],"of":[2,14,132,160],"phage-host":[3],"interactions":[4],"remains":[5],"a":[6,47,62,84,110],"fundamental":[7],"challenge":[8],"that":[9,50,90,114,149],"impedes":[10],"the":[11,135,150,157],"clinical":[12],"deployment":[13],"phage":[15],"therapy.":[16],"Current":[17],"graph":[18,87],"neural":[19,88],"network-based":[20],"methods":[21],"rely":[22],"on":[23,134],"superficial":[24],"sequence":[25],"features,":[26],"failing":[27],"to":[28,55,69,156],"adequately":[29],"integrate":[30],"deep":[31],"biological":[32,79,96],"semantic":[33,53,58,97],"information.":[34],"In":[35],"this":[36,57],"work,":[37],"we":[38,108],"present":[39],"DSHMGAT":[40,82,128],"(Dual-Stream":[41],"Hierarchical":[42],"Mixed-Routing":[43],"Graph":[44],"Attention":[45],"Network),":[46],"novel":[48],"framework":[49],"incorporates":[51],"agent-generated":[52],"embeddings":[54],"mitigate":[56],"deficiency.":[59],"By":[60],"employing":[61],"ReAct-driven":[63],"agent":[64],"with":[65],"function":[66],"calling":[67],"capabilities":[68],"access":[70],"domain-specific":[71],"databases,":[72],"our":[73,143],"approach":[74],"reduces":[75],"hallucinations":[76],"inherent":[77],"in":[78,142],"LLM":[80],"applications.":[81],"adopts":[83],"dualstream":[85],"hierarchical":[86],"network":[89],"simultaneously":[91],"captures":[92],"genomic":[93],"sequences":[94],"and":[95,125,165],"representations,":[98],"enabling":[99],"effective":[100],"cross-modal":[101,163],"information":[102],"integration.":[103],"Inspired":[104],"by":[105],"mixture-of-experts":[106],"architectures,":[107],"develop":[109],"mixed-routing":[111,166],"attention":[112],"mechanism":[113],"improves":[115],"learning":[116],"flexibility":[117],"through":[118],"dynamic":[119],"weight":[120],"allocation":[121],"between":[122],"routing":[123],"heads":[124],"shared":[126],"heads.":[127],"achieves":[129],"an":[130],"AUC":[131],"0.9486":[133],"benchmark":[136],"dataset":[137],"which":[138],"outperforms":[139],"established":[140],"approaches":[141],"comparative":[144],"analysis.":[145],"Ablation":[146],"experiments":[147],"reveal":[148],"observed":[151],"improvements":[152],"can":[153],"be":[154],"attributed":[155],"combined":[158],"effects":[159],"multimodal":[161],"fusion,":[162],"interaction":[164],"mechanism.":[167]},"counts_by_year":[],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2026-01-30T00:00:00"}
