{"id":"https://openalex.org/W4205145191","doi":"https://doi.org/10.1109/bigdata52589.2021.9671290","title":"A Constraint Propagation Approach for Identifying Biological Pathways in COVID-19 Knowledge Graphs","display_name":"A Constraint Propagation Approach for Identifying Biological Pathways in COVID-19 Knowledge Graphs","publication_year":2021,"publication_date":"2021-12-15","ids":{"openalex":"https://openalex.org/W4205145191","doi":"https://doi.org/10.1109/bigdata52589.2021.9671290"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata52589.2021.9671290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671290","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","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 Big Data (Big Data)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5077722995","display_name":"Thomas K. Tu","orcid":"https://orcid.org/0000-0002-5539-6271"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Thomas K. Tu","raw_affiliation_strings":["University of California, Los Angeles,Department of Mathematics,Los Angeles,California","Department of Mathematics, University of California, Los Angeles, Los Angeles, California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles,Department of Mathematics,Los Angeles,California","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"Department of Mathematics, University of California, Los Angeles, Los Angeles, California","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5077722995"],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":null,"apc_paid":null,"fwci":1.8778,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.86034456,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2678","last_page":"2684"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9973999857902527,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9973999857902527,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9970999956130981,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9962000250816345,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/biological-network","display_name":"Biological network","score":0.6777379512786865},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6695435643196106},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.580302357673645},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5743423104286194},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5550004839897156},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.49136438965797424},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.45318812131881714},{"id":"https://openalex.org/keywords/biological-data","display_name":"Biological data","score":0.41132885217666626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29326391220092773},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.2892034947872162},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.1793411374092102},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1698741614818573},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.12770837545394897}],"concepts":[{"id":"https://openalex.org/C28225019","wikidata":"https://www.wikidata.org/wiki/Q4915005","display_name":"Biological network","level":2,"score":0.6777379512786865},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6695435643196106},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.580302357673645},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5743423104286194},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5550004839897156},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.49136438965797424},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.45318812131881714},{"id":"https://openalex.org/C201797286","wikidata":"https://www.wikidata.org/wiki/Q4914986","display_name":"Biological data","level":2,"score":0.41132885217666626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29326391220092773},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.2892034947872162},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.1793411374092102},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1698741614818573},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12770837545394897},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata52589.2021.9671290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671290","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","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 Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2463500981","https://openalex.org/W2952755768","https://openalex.org/W2964864162","https://openalex.org/W3020786614","https://openalex.org/W3091085673","https://openalex.org/W3112850967","https://openalex.org/W3121945145","https://openalex.org/W3126784804","https://openalex.org/W3133790662","https://openalex.org/W3136667035","https://openalex.org/W3167906655","https://openalex.org/W3200148114","https://openalex.org/W6719018244","https://openalex.org/W6776225533","https://openalex.org/W6780646372","https://openalex.org/W6801312785"],"related_works":["https://openalex.org/W2155492529","https://openalex.org/W4252504573","https://openalex.org/W4385510321","https://openalex.org/W15348386","https://openalex.org/W2314128295","https://openalex.org/W1509942269","https://openalex.org/W4287026692","https://openalex.org/W2077895977","https://openalex.org/W2609388058","https://openalex.org/W2132274001"],"abstract_inverted_index":{"Many":[0],"mechanisms":[1],"within":[2],"biological":[3,19,64],"systems":[4],"can":[5,23],"be":[6,24],"modeled":[7],"as":[8],"pathways,":[9],"chains":[10],"of":[11],"interactions":[12,22],"between":[13],"proteins,":[14],"genes,":[15],"chemicals,":[16],"and":[17],"other":[18],"entities.":[20],"These":[21],"represented":[25],"using":[26],"a":[27,32,50,58,71],"graph":[28,34,59,73],"structure,":[29],"more":[30],"specifically":[31],"knowledge":[33,72],"representing":[35],"known":[36],"or":[37],"inferred":[38],"information":[39],"about":[40],"the":[41],"entities":[42],"in":[43,57],"question.":[44],"In":[45],"this":[46,68],"context,":[47],"we":[48],"propose":[49],"constraint":[51],"propagation":[52],"approach":[53,69],"for":[54],"identifying":[55],"paths":[56],"structure":[60],"which":[61,75],"represent":[62],"potential":[63],"pathways.":[65],"We":[66],"apply":[67],"to":[70],"dataset":[74],"was":[76],"semantically":[77],"extracted":[78],"from":[79],"literature":[80],"on":[81],"COVID-19.":[82]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
