{"id":"https://openalex.org/W4205264709","doi":"https://doi.org/10.1109/bibm52615.2021.9669658","title":"A Hybrid-scales Graph Contrastive learning Framework for Discovering Regularities in Traditional Chinese Medicine Formula","display_name":"A Hybrid-scales Graph Contrastive learning Framework for Discovering Regularities in Traditional Chinese Medicine Formula","publication_year":2021,"publication_date":"2021-12-09","ids":{"openalex":"https://openalex.org/W4205264709","doi":"https://doi.org/10.1109/bibm52615.2021.9669658"},"language":"en","primary_location":{"id":"doi:10.1109/bibm52615.2021.9669658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm52615.2021.9669658","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 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/A5112581121","display_name":"Yingpei Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yingpei Wu","raw_affiliation_strings":["Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China","School of Computer Science, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035509585","display_name":"Zecheng Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]},{"id":"https://openalex.org/I4210155203","display_name":"Jimo District Qingdao Hospital of Traditional Chinese Medicine","ror":"https://ror.org/05d944x37","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210155203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zecheng Yin","raw_affiliation_strings":["Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China","Qingdao West Coast New Area No.2 Traditional Chinese Medicine Hospital, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"Qingdao West Coast New Area No.2 Traditional Chinese Medicine Hospital, Qingdao, China","institution_ids":["https://openalex.org/I4210155203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086136769","display_name":"Kaiyuan Zhou","orcid":"https://orcid.org/0000-0003-2729-4160"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiyuan Zhou","raw_affiliation_strings":["Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029875220","display_name":"Ruofei Wang","orcid":"https://orcid.org/0000-0003-0605-9663"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruofei Wang","raw_affiliation_strings":["Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100675701","display_name":"Yun Yang","orcid":"https://orcid.org/0000-0002-9893-3436"},"institutions":[{"id":"https://openalex.org/I4210098460","display_name":"Shanghai University of Traditional Chinese Medicine","ror":"https://ror.org/00z27jk27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210098460"]},{"id":"https://openalex.org/I4210135988","display_name":"Shanghai Traditional Chinese Medicine Hospital","ror":"https://ror.org/03p31hk68","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210135988"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Yang","raw_affiliation_strings":["Department of Oncology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China","Shanghai Municipal Hospital of Traditional Chinese Medicine, Oncology Institute of Traditional Chinese Medicine, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Oncology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China","institution_ids":["https://openalex.org/I4210098460"]},{"raw_affiliation_string":"Shanghai Municipal Hospital of Traditional Chinese Medicine, Oncology Institute of Traditional Chinese Medicine, Shanghai, China","institution_ids":["https://openalex.org/I4210135988"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062754144","display_name":"Zepeng Yin","orcid":"https://orcid.org/0000-0002-5123-8321"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]},{"id":"https://openalex.org/I4210155203","display_name":"Jimo District Qingdao Hospital of Traditional Chinese Medicine","ror":"https://ror.org/05d944x37","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210155203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zepeng Yin","raw_affiliation_strings":["Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China","Qingdao West Coast New Area No.2 Traditional Chinese Medicine Hospital, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"Qingdao West Coast New Area No.2 Traditional Chinese Medicine Hospital, Qingdao, China","institution_ids":["https://openalex.org/I4210155203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039364205","display_name":"Chunyang Ruan","orcid":"https://orcid.org/0000-0002-6280-0148"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chunyang Ruan","raw_affiliation_strings":["SSE-ARD, Shanghai Enflame Technology Company"],"affiliations":[{"raw_affiliation_string":"SSE-ARD, Shanghai Enflame Technology Company","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049750015","display_name":"Yanchun Zhang","orcid":"https://orcid.org/0000-0002-5094-5980"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]},{"id":"https://openalex.org/I71270174","display_name":"Victoria University","ror":"https://ror.org/04j757h98","country_code":"AU","type":"education","lineage":["https://openalex.org/I71270174"]}],"countries":["AU","CN"],"is_corresponding":false,"raw_author_name":"Yanchun Zhang","raw_affiliation_strings":["Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China","Institute of Sustainable Industries and Liveable Cities, Victoria University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"Institute of Sustainable Industries and Liveable Cities, Victoria University, Melbourne, Australia","institution_ids":["https://openalex.org/I71270174"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5112581121"],"corresponding_institution_ids":["https://openalex.org/I24943067","https://openalex.org/I37987034"],"apc_list":null,"apc_paid":null,"fwci":4.607,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.97560976,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1104","last_page":"1111"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9927999973297119,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9866999983787537,"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":0.8465962409973145},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7470259666442871},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5825121402740479},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5309103727340698},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.5071823596954346},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5017633438110352},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5016186237335205},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46666330099105835},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3962089419364929},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3490779995918274},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32090193033218384},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.26090478897094727}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8465962409973145},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7470259666442871},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5825121402740479},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5309103727340698},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.5071823596954346},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5017633438110352},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5016186237335205},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46666330099105835},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3962089419364929},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3490779995918274},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32090193033218384},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26090478897094727},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bibm52615.2021.9669658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm52615.2021.9669658","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.vu.edu.au:46470","is_oa":false,"landing_page_url":"https://vuir.vu.edu.au/46470/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400215","display_name":"Victoria University Research Repository (Victoria University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I41156924","host_organization_name":"Victoria University of Wellington","host_organization_lineage":["https://openalex.org/I41156924"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1005454186","https://openalex.org/W2171836785","https://openalex.org/W2419501139","https://openalex.org/W2743104969","https://openalex.org/W2782374321","https://openalex.org/W2786150157","https://openalex.org/W2798991696","https://openalex.org/W2887997457","https://openalex.org/W2896247395","https://openalex.org/W2896317910","https://openalex.org/W2911286998","https://openalex.org/W2914523537","https://openalex.org/W2948012107","https://openalex.org/W2964015378","https://openalex.org/W2965363157","https://openalex.org/W2984239289","https://openalex.org/W2997686727","https://openalex.org/W3001701667","https://openalex.org/W3004983594","https://openalex.org/W3005680577","https://openalex.org/W3012816161","https://openalex.org/W3012901223","https://openalex.org/W3032163490","https://openalex.org/W3033039844","https://openalex.org/W3035524453","https://openalex.org/W3108655343","https://openalex.org/W3128543601","https://openalex.org/W3128971522","https://openalex.org/W3173292968","https://openalex.org/W3189092450","https://openalex.org/W3196558805","https://openalex.org/W4206904468","https://openalex.org/W4288275971","https://openalex.org/W4297733535","https://openalex.org/W4297808394","https://openalex.org/W6717434760","https://openalex.org/W6726873649","https://openalex.org/W6747837047","https://openalex.org/W6748162234","https://openalex.org/W6754278344","https://openalex.org/W6755573351","https://openalex.org/W6763416564","https://openalex.org/W6766156693","https://openalex.org/W6774314701","https://openalex.org/W6779940601","https://openalex.org/W6782922630","https://openalex.org/W6807866513","https://openalex.org/W6844194202"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W2669956259","https://openalex.org/W4249005693"],"abstract_inverted_index":{"Discovering":[0],"regularities":[1,36,127],"in":[2,13,37,62,113],"Traditional":[3],"Chinese":[4],"Medicine":[5],"(TCM)":[6],"formula":[7],"has":[8],"been":[9,32],"a":[10,71,101,114],"hot":[11],"topic":[12,26],"assisting":[14],"TCM":[15,53,63,72],"clinical":[16],"treatment":[17],"and":[18,29,56,90,132,142,150],"poly-pharmacology":[19],"research.":[20],"Several":[21],"machine":[22],"learning":[23,106],"methods,":[24],"like":[25],"model,":[27],"auto-encoder,":[28],"GNNs,":[30],"have":[31],"proposed":[33],"for":[34,78,122],"discovering":[35,126],"TCM.":[38],"However,":[39],"they":[40],"are":[41,152],"often":[42],"limited":[43],"by":[44],"specific":[45],"data":[46,59],"challenges":[47],"(e.g.,":[48],"complex":[49],"relations":[50],"with":[51],"rich":[52],"knowledge,":[54],"sparsity":[55],"ambiguity,":[57],"expensive":[58],"labeling,":[60],"etc.)":[61],"formulae.":[64],"Addressing":[65],"these":[66],"challenges,":[67],"we":[68,98],"first":[69],"establish":[70],"Attributed":[73],"Heterogeneous":[74],"Information":[75],"Network":[76],"(TAHIN)":[77],"modeling":[79],"massive":[80],"formulae,":[81],"which":[82,118],"can":[83,119],"assemble":[84],"various":[85,123],"types":[86],"of":[87,125,144],"additional":[88],"information":[89],"capture":[91],"their":[92],"relations.":[93],"Based":[94],"on":[95],"the":[96,140],"TAHIN,":[97],"further":[99],"propose":[100],"novel":[102],"hybrid-scales":[103],"graph":[104],"contrastive":[105],"framework":[107],"to":[108],"learn":[109],"high-quality":[110],"node":[111],"representations":[112],"whole":[115],"unsupervised":[116],"manner":[117],"be":[120],"helpful":[121],"tasks":[124],"such":[128],"as":[129],"herb":[130,133],"classification":[131],"similarity":[134],"search,":[135],"etc.":[136],"Extensive":[137],"experiments":[138],"demonstrate":[139],"effectiveness":[141],"interpretability":[143],"our":[145],"method.":[146],"Our":[147],"source":[148],"code":[149],"datasets":[151],"available":[153],"at":[154],"https://github.com/Yonggie/":[155],"HsCTRD.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
