{"id":"https://openalex.org/W4415593652","doi":"https://doi.org/10.1109/tetci.2025.3616045","title":"Interpretable and Adaptive Graph Contrastive Learning With Information Sharing for Biomedical Link Prediction","display_name":"Interpretable and Adaptive Graph Contrastive Learning With Information Sharing for Biomedical Link Prediction","publication_year":2025,"publication_date":"2025-10-27","ids":{"openalex":"https://openalex.org/W4415593652","doi":"https://doi.org/10.1109/tetci.2025.3616045"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2025.3616045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2025.3616045","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-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/A5082197012","display_name":"Junkai Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I3133184724","display_name":"University College Birmingham","ror":"https://ror.org/042ver755","country_code":"GB","type":"education","lineage":["https://openalex.org/I3133184724"]},{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Junkai Liu","raw_affiliation_strings":["School of Engineering, College of Engineering and Physical Sciences, University of Birmingham, Birmingham, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, College of Engineering and Physical Sciences, University of Birmingham, Birmingham, U.K","institution_ids":["https://openalex.org/I3133184724","https://openalex.org/I79619799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100775917","display_name":"Le Zhang","orcid":"https://orcid.org/0000-0002-3848-0017"},"institutions":[{"id":"https://openalex.org/I3133184724","display_name":"University College Birmingham","ror":"https://ror.org/042ver755","country_code":"GB","type":"education","lineage":["https://openalex.org/I3133184724"]},{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Le Zhang","raw_affiliation_strings":["School of Engineering, College of Engineering and Physical Sciences, University of Birmingham, Birmingham, U.K"],"raw_orcid":"https://orcid.org/0000-0002-3848-0017","affiliations":[{"raw_affiliation_string":"School of Engineering, College of Engineering and Physical Sciences, University of Birmingham, Birmingham, U.K","institution_ids":["https://openalex.org/I3133184724","https://openalex.org/I79619799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100688233","display_name":"Yijie Ding","orcid":"https://orcid.org/0000-0003-2911-7643"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I4210123686","display_name":"Quzhou University","ror":"https://ror.org/024nfx323","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210123686"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijie Ding","raw_affiliation_strings":["Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2911-7643","affiliations":[{"raw_affiliation_string":"Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China","institution_ids":["https://openalex.org/I150229711","https://openalex.org/I4210123686"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082046789","display_name":"Prayag Tiwari","orcid":"https://orcid.org/0000-0002-2851-4260"},"institutions":[{"id":"https://openalex.org/I746986","display_name":"Halmstad University","ror":"https://ror.org/03h0qfp10","country_code":"SE","type":"education","lineage":["https://openalex.org/I746986"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Prayag Tiwari","raw_affiliation_strings":["School of Information Technology, Halmstad University, Halmstad, Sweden"],"raw_orcid":"https://orcid.org/0000-0002-2851-4260","affiliations":[{"raw_affiliation_string":"School of Information Technology, Halmstad University, Halmstad, Sweden","institution_ids":["https://openalex.org/I746986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112892296","display_name":"Xiaoyi Guo","orcid":"https://orcid.org/0000-0002-3666-8104"},"institutions":[{"id":"https://openalex.org/I4210088331","display_name":"Quzhou City People's Hospital","ror":"https://ror.org/004qehs09","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210088331"]},{"id":"https://openalex.org/I4210123686","display_name":"Quzhou University","ror":"https://ror.org/024nfx323","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210123686"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyi Guo","raw_affiliation_strings":["Quzhou People&#x2019;s Hospital, Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3666-8104","affiliations":[{"raw_affiliation_string":"Quzhou People&#x2019;s Hospital, Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou, China","institution_ids":["https://openalex.org/I4210088331","https://openalex.org/I4210123686"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069969191","display_name":"Weiping Ding","orcid":"https://orcid.org/0000-0002-3180-7347"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiping Ding","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Nantong University, Nantong, China"],"raw_orcid":"https://orcid.org/0000-0002-3180-7347","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18910753,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":"3","first_page":"2332","last_page":"2347"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9718999862670898,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9718999862670898,"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/interpretability","display_name":"Interpretability","score":0.8047999739646912},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5476999878883362},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.45989999175071716},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44780001044273376},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.38100001215934753},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.37540000677108765},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.365200012922287}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8047999739646912},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7788000106811523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5860000252723694},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5476999878883362},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5130000114440918},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.45989999175071716},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44780001044273376},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.38100001215934753},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.37540000677108765},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.365200012922287},{"id":"https://openalex.org/C2776854237","wikidata":"https://www.wikidata.org/wiki/Q6031064","display_name":"Information sharing","level":2,"score":0.35010001063346863},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.33719998598098755},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.31929999589920044},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.31610000133514404},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.31220000982284546},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30390000343322754},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.27570000290870667},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.26089999079704285},{"id":"https://openalex.org/C2779965156","wikidata":"https://www.wikidata.org/wiki/Q5227350","display_name":"Data sharing","level":3,"score":0.25769999623298645},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.25459998846054077}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tetci.2025.3616045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2025.3616045","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/8ed820bd-92cf-4cdd-a919-f00189dce244","is_oa":false,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/8ed820bd-92cf-4cdd-a919-f00189dce244","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Liu, J, Zhang, L, Ding, Y, Tiwari, P, Guo, X & Ding, W 2025, 'Interpretable and Adaptive Graph Contrastive Learning With Information Sharing for Biomedical Link Prediction', IEEE Transactions on Emerging Topics in Computational Intelligence. https://doi.org/10.1109/TETCI.2025.3616045","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1581597255","display_name":null,"funder_award_id":"62576178","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7037578608","display_name":null,"funder_award_id":"62172076","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7476944060","display_name":null,"funder_award_id":"BK20231337","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"identification":[1],"of":[2,46,68,73,118,197],"unobserved":[3],"links":[4],"in":[5,59,195],"drug-related":[6],"biomedical":[7,90],"networks":[8],"is":[9,17,163],"essential":[10],"for":[11,20,89,99],"various":[12],"drug":[13],"discovery":[14],"applications,":[15],"which":[16,136],"also":[18],"beneficial":[19],"both":[21],"disease":[22],"diagnosis":[23],"and":[24,51,57,62,66,80,133,173,200],"treatment":[25],"through":[26],"exploring":[27],"the":[28,105,124,142,145,153,175,192],"underlying":[29],"molecular":[30],"mechanisms.":[31,120],"However,":[32],"existing":[33],"solutions":[34],"face":[35],"significant":[36],"challenges":[37],"due":[38],"to":[39,48,114,141,147,165],"three":[40,96],"main":[41],"limitations,":[42],"i.e.,":[43],"(1)":[44],"lack":[45],"interpretability":[47],"provide":[49,115],"comprehensive":[50],"reliable":[52],"insights,":[53],"(2)":[54],"insufficient":[55],"robustness":[56],"flexibility":[58],"cold-start":[60],"scenarios,":[61],"(3)":[63],"inadequate":[64],"interaction":[65],"sharing":[67,88,158],"multi-view":[69],"information.":[70],"In":[71],"light":[72],"this,":[74],"we":[75,108,127],"propose":[76,109,128],"DrugXAS,":[77],"an":[78,110,129,156],"interpretable":[79],"adaptive":[81,130],"cross-view":[82],"contrastive":[83],"learning":[84],"framework":[85],"with":[86,123,160],"information":[87,157],"link":[91],"prediction.":[92],"Specifically,":[93],"DrugXAS":[94,190],"has":[95],"distinctive":[97],"characteristics":[98],"addressing":[100],"these":[101],"challenges.":[102],"To":[103,121,151],"solve":[104],"first":[106],"problem,":[107],"attention-aware":[111],"augmentation":[112],"scheme":[113],"understandable":[116],"explanations":[117],"intrinsic":[119],"deal":[122],"second":[125],"challenge,":[126],"graph":[131],"updater":[132],"neighborhood":[134],"sampler,":[135],"select":[137],"proper":[138],"neighbors":[139],"according":[140],"feedbacks":[143],"from":[144],"model":[146],"improve":[148],"aggregation":[149],"ability.":[150],"tackle":[152],"third":[154],"issue,":[155],"module":[159],"diffusion":[161],"loss":[162],"proposed":[164],"incorporate":[166],"chemical":[167],"structures":[168],"into":[169],"heterogeneous":[170],"relational":[171],"semantics":[172],"facilitate":[174],"contrast":[176],"process.":[177],"Empirically,":[178],"extensive":[179],"experiments":[180],"on":[181],"seven":[182],"benchmark":[183],"datasets":[184],"involving":[185],"multi-type":[186],"tasks":[187],"demonstrate":[188],"that":[189],"outperforms":[191],"state-of-the-art":[193],"methods":[194],"terms":[196],"precision,":[198],"robustness,":[199],"interpretability.":[201]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-28T00:00:00"}
