{"id":"https://openalex.org/W7126056183","doi":"https://doi.org/10.1109/bibm66473.2025.11356319","title":"Contrastive Learning on Heterogeneous Graphs for Oligopeptide-Disease Prediction","display_name":"Contrastive Learning on Heterogeneous Graphs for Oligopeptide-Disease Prediction","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126056183","doi":"https://doi.org/10.1109/bibm66473.2025.11356319"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356319","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/A5051714161","display_name":"Dayu Tan","orcid":"https://orcid.org/0000-0001-6162-1730"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dayu Tan","raw_affiliation_strings":["Anhui University,Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education,Hefei,Anhui,China,230601"],"affiliations":[{"raw_affiliation_string":"Anhui University,Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education,Hefei,Anhui,China,230601","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100394834","display_name":"Jing Chen","orcid":"https://orcid.org/0000-0001-8863-2843"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Chen","raw_affiliation_strings":["Anhui University,Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education,Hefei,Anhui,China,230601"],"affiliations":[{"raw_affiliation_string":"Anhui University,Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education,Hefei,Anhui,China,230601","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107809002","display_name":"Xiaoping Zhou","orcid":"https://orcid.org/0000-0001-5050-2154"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoping Zhou","raw_affiliation_strings":["Anhui University,Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education,Hefei,Anhui,China,230601"],"affiliations":[{"raw_affiliation_string":"Anhui University,Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education,Hefei,Anhui,China,230601","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124198831","display_name":"Yansen Su","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yansen Su","raw_affiliation_strings":["Anhui University,Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education,Hefei,Anhui,China,230601"],"affiliations":[{"raw_affiliation_string":"Anhui University,Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education,Hefei,Anhui,China,230601","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123037576","display_name":"Kanglin Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210154833","display_name":"Signature Research (United States)","ror":"https://ror.org/04djzj803","country_code":"US","type":"company","lineage":["https://openalex.org/I4210154833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kanglin Wang","raw_affiliation_strings":["Knature Biopharmaceutical Co. Ltd,Hefei,China"],"affiliations":[{"raw_affiliation_string":"Knature Biopharmaceutical Co. Ltd,Hefei,China","institution_ids":["https://openalex.org/I4210154833"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101837578","display_name":"Chunhou Zheng","orcid":"https://orcid.org/0000-0001-5176-6880"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunhou Zheng","raw_affiliation_strings":["Anhui University,Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education,Hefei,Anhui,China,230601"],"affiliations":[{"raw_affiliation_string":"Anhui University,Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education,Hefei,Anhui,China,230601","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5051714161"],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.70575655,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"51","last_page":"56"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11103","display_name":"Antimicrobial Peptides and Activities","score":0.41990000009536743,"subfield":{"id":"https://openalex.org/subfields/2404","display_name":"Microbiology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11103","display_name":"Antimicrobial Peptides and Activities","score":0.41990000009536743,"subfield":{"id":"https://openalex.org/subfields/2404","display_name":"Microbiology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.09049999713897705,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.065700002014637,"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":0.6344000101089478},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.597599983215332},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4666000008583069},{"id":"https://openalex.org/keywords/computational-model","display_name":"Computational model","score":0.3578000068664551},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.3321000039577484},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.30300000309944153}],"concepts":[{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6344000101089478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6247000098228455},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.597599983215332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4871000051498413},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4666000008583069},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4262000024318695},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39899998903274536},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.3578000068664551},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.3321000039577484},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.30300000309944153},{"id":"https://openalex.org/C64339825","wikidata":"https://www.wikidata.org/wiki/Q722659","display_name":"Graph property","level":5,"score":0.27970001101493835},{"id":"https://openalex.org/C17209119","wikidata":"https://www.wikidata.org/wiki/Q5596712","display_name":"Granular computing","level":3,"score":0.2782999873161316},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.2694000005722046},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.26170000433921814}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356319","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/G6202416540","display_name":null,"funder_award_id":"62303014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7556308482","display_name":null,"funder_award_id":"2308085QF225","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2080086899","https://openalex.org/W2089499735","https://openalex.org/W2106029302","https://openalex.org/W2153767421","https://openalex.org/W2158627511","https://openalex.org/W2548197444","https://openalex.org/W2749055920","https://openalex.org/W2772810934","https://openalex.org/W2807176368","https://openalex.org/W2887939024","https://openalex.org/W2921418778","https://openalex.org/W2997277473","https://openalex.org/W3111531342","https://openalex.org/W3120960768","https://openalex.org/W3157330827","https://openalex.org/W3212148037","https://openalex.org/W4312187515","https://openalex.org/W4318479578","https://openalex.org/W4360770766","https://openalex.org/W4372352530","https://openalex.org/W4378952262","https://openalex.org/W4385444024","https://openalex.org/W4387541094","https://openalex.org/W4389573578","https://openalex.org/W4391582532","https://openalex.org/W4391967190","https://openalex.org/W4392393054","https://openalex.org/W4394850468","https://openalex.org/W4400130801","https://openalex.org/W4403970827","https://openalex.org/W4407895503"],"related_works":[],"abstract_inverted_index":{"Infectious":[0],"diseases":[1,59],"continue":[2],"to":[3,8,19,34,43,52,76,90],"pose":[4],"a":[5,73,102,112,117,135],"serious":[6],"threat":[7],"public":[9],"health,":[10],"underscoring":[11],"the":[12],"urgent":[13],"need":[14],"for":[15,68,130],"effective":[16],"computational":[17,48],"approaches":[18],"screen":[20],"novel":[21,153],"anti-infective":[22],"agents.":[23],"Oligopeptides":[24],"have":[25],"emerged":[26],"as":[27],"promising":[28],"candidates":[29],"in":[30,151],"an-timicrobial":[31],"research":[32],"due":[33],"their":[35,46],"structural":[36],"simplicity,":[37],"high":[38],"bioavailability,":[39],"and":[40,57,82,94,116,122,146],"low":[41],"susceptibility":[42],"resistance.":[44],"Despite":[45],"potential,":[47],"models":[49,145],"specifically":[50],"designed":[51,75],"predict":[53,77],"associations":[54,79],"between":[55,80],"oligopeptides":[56,81],"infectious":[58,83],"remain":[60],"scarce.":[61],"We":[62],"propose":[63],"Prompt-Guided":[64],"Graph":[65],"Contrastive":[66],"Learning":[67],"Oligopeptide-Disease":[69],"Association":[70],"Prediction":[71],"(PGCLODA),":[72],"framework":[74],"potential":[78],"diseases.":[84,95],"A":[85],"tripartite":[86],"graph":[87,104,113],"is":[88],"constructed":[89],"integrate":[91],"oligopeptides,":[92],"microbes,":[93],"To":[96],"preserve":[97],"informative":[98],"structures,":[99],"we":[100],"introduce":[101],"prompt-based":[103],"augmentation":[105],"strategy.":[106],"Our":[107],"dual":[108],"encoder,":[109],"composed":[110],"of":[111],"convolutional":[114],"network":[115],"Transformer,":[118],"captures":[119],"both":[120],"local":[121],"global":[123],"features.":[124],"The":[125],"fused":[126],"representations":[127],"are":[128],"used":[129],"final":[131],"classification.":[132],"Experiments":[133],"on":[134],"benchmark":[136],"dataset":[137],"show":[138],"that":[139],"our":[140],"method":[141],"consistently":[142],"outperforms":[143],"existing":[144],"demonstrates":[147],"strong":[148],"generalization":[149],"capability":[150],"discovering":[152],"associations.":[154]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-30T00:00:00"}