{"id":"https://openalex.org/W3080134346","doi":"https://doi.org/10.1145/3394486.3406469","title":"Recent Advances on Graph Analytics and Its Applications in Healthcare","display_name":"Recent Advances on Graph Analytics and Its Applications in Healthcare","publication_year":2020,"publication_date":"2020-08-20","ids":{"openalex":"https://openalex.org/W3080134346","doi":"https://doi.org/10.1145/3394486.3406469","mag":"3080134346"},"language":"en","primary_location":{"id":"doi:10.1145/3394486.3406469","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3394486.3406469","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3394486.3406469","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3394486.3406469","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115695181","display_name":"Fei Wang","orcid":"https://orcid.org/0000-0001-5768-7323"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Fei Wang","raw_affiliation_strings":["Cornell University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Cornell University, New York, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009228005","display_name":"Peng Cui","orcid":"https://orcid.org/0000-0003-2957-8511"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Cui","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062247330","display_name":"Jian Pei","orcid":"https://orcid.org/0000-0002-2200-8711"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jian Pei","raw_affiliation_strings":["Simon Fraser University, Vancouver, BC, Canada"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020880385","display_name":"Yangqiu Song","orcid":"https://orcid.org/0000-0002-7818-6090"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yangqiu Song","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074254110","display_name":"Chengxi Zang","orcid":"https://orcid.org/0000-0002-8244-9551"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chengxi Zang","raw_affiliation_strings":["Cornell University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Cornell University, New York, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5115695181"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":1.4951,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.8647372,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3545","last_page":"3546"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9940999746322632,"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":0.9940999746322632,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9865999817848206,"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"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.98580002784729,"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":0.7250927090644836},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.713638424873352},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5733604431152344},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.467298299074173},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4665776193141937},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.44411903619766235},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.4394806921482086},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38386887311935425},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38169798254966736},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3764180839061737},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3755311369895935}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7250927090644836},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.713638424873352},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5733604431152344},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.467298299074173},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4665776193141937},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.44411903619766235},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.4394806921482086},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38386887311935425},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38169798254966736},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3764180839061737},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3755311369895935},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3394486.3406469","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3394486.3406469","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3394486.3406469","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-105945","is_oa":false,"landing_page_url":"http://www.scopus.com/record/display.url?eid=2-s2.0-85090415443&origin=inward","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Conference paper"},{"id":"pmh:oai:repository.ust.hk:1783.1-105945","is_oa":false,"landing_page_url":"http://repository.ust.hk/ir/Record/1783.1-105945","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":{"id":"doi:10.1145/3394486.3406469","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3394486.3406469","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3394486.3406469","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.5899999737739563,"display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G1070330726","display_name":null,"funder_award_id":"1716432, 1750326, 2027970","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G392251763","display_name":null,"funder_award_id":"MLRA","funder_id":"https://openalex.org/F4320310598","funder_display_name":"Amazon Web Services"},{"id":"https://openalex.org/G6462183582","display_name":null,"funder_award_id":"N00014-18-1-2585","funder_id":"https://openalex.org/F4320338399","funder_display_name":"Office of Academic Research, U.S. Naval Academy"},{"id":"https://openalex.org/G7502198134","display_name":null,"funder_award_id":"ECS, No. 26206717","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"},{"id":"https://openalex.org/G8102989736","display_name":null,"funder_award_id":"Faculty Research Award","funder_id":"https://openalex.org/F4320309327","funder_display_name":"Google"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309327","display_name":"Google","ror":"https://ror.org/00njsd438"},{"id":"https://openalex.org/F4320310598","display_name":"Amazon Web Services","ror":"https://ror.org/04mv4n011"},{"id":"https://openalex.org/F4320321487","display_name":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"},{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"},{"id":"https://openalex.org/F4320338399","display_name":"Office of Academic Research, U.S. Naval Academy","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3080134346.pdf","grobid_xml":"https://content.openalex.org/works/W3080134346.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W2770250693","https://openalex.org/W2787487383","https://openalex.org/W2809156873","https://openalex.org/W2809660921","https://openalex.org/W2907654894","https://openalex.org/W2911932738","https://openalex.org/W2964234429","https://openalex.org/W2977707586","https://openalex.org/W3036527662","https://openalex.org/W3080690551","https://openalex.org/W3099414221","https://openalex.org/W3101913790"],"related_works":["https://openalex.org/W4385957992","https://openalex.org/W4229079080","https://openalex.org/W4206534706","https://openalex.org/W4385965371","https://openalex.org/W4386025632","https://openalex.org/W3006943036","https://openalex.org/W4200511449","https://openalex.org/W3212124726","https://openalex.org/W4299487748","https://openalex.org/W2955609745"],"abstract_inverted_index":{"Graph":[0],"is":[1,20,71],"a":[2,21,62,214],"natural":[3],"representation":[4],"encoding":[5],"both":[6,94],"the":[7,10,34,41,74,95,99,104,133,210,230,239,251,253,266],"features":[8],"of":[9,40,44,64,68,148,216,233,259],"data":[11,25,45,166],"samples":[12],"and":[13,27,47,58,80,98,120,125,160,173,180,190,197,205,219,225,257,269],"relationships":[14],"among":[15],"them.":[16],"Analysis":[17],"with":[18,163,182,213,250],"graphs":[19],"classic":[22],"topic":[23],"in":[24,33,61,86,101,145],"mining":[26,46],"many":[28,50],"techniques":[29],"have":[30,55,83,243],"been":[31,56,84],"proposed":[32,57],"past.":[35],"In":[36,88,227],"recent":[37],"years,":[38],"because":[39],"rapid":[42],"development":[43,191],"knowledge":[48,117,175],"discovery,":[49],"novel":[51],"graph":[52,75,114,118,122,126,246],"analytics":[53,76,247],"algorithms":[54,77],"successfully":[59],"applied":[60,85,144],"variety":[63],"areas.":[65],"The":[66],"goal":[67],"this":[69],"tutorial":[70,91,212],"to":[72,248],"summarize":[73,238],"developed":[78],"recently":[79],"how":[81,139],"they":[82],"healthcare.":[87,102],"particular,":[89,228],"our":[90],"will":[92,108,137,208,236],"cover":[93],"technical":[96,105],"advances":[97],"application":[100],"On":[103,132],"aspect,":[106],"we":[107,136,235],"introduce":[109,138],"deep":[110],"network":[111],"embedding":[112],"techniques,":[113],"neural":[115,127],"networks,":[116],"construction":[119],"inference,":[121],"generative":[123],"models":[124],"ordinary":[128],"differential":[129],"equation":[130],"models.":[131],"healthcare":[134],"side,":[135],"these":[140],"methods":[141],"can":[142],"be":[143],"predictive":[146],"modeling":[147],"clinical":[149,202],"risks":[150],"(e.g.,":[151,167,192],"chronic":[152],"disease":[153,161],"onset,":[154],"in-hospital":[155],"mortality,":[156],"condition":[157],"exacerbation,":[158],"etc.)":[159],"subtyping":[162],"multi-modal":[164],"patient":[165,199],"electronic":[168],"health":[169],"records,":[170],"medical":[171],"image":[172],"multi-omics),":[174],"discovery":[176],"from":[177],"biomedical":[178],"literature":[179],"integration":[181],"data-driven":[183],"models,":[184],"as":[185,187,222,261,263],"well":[186,262],"pharmaceutical":[188],"research":[189,241],"de-novo":[193],"chemical":[194],"compound":[195],"design":[196],"optimization,":[198],"similarity":[200],"for":[201,272],"trial":[203],"recruitment":[204],"pharmacovigilance).":[206],"We":[207],"conclude":[209],"whole":[211],"set":[215],"potential":[217,270],"issues":[218],"challenges":[220],"such":[221],"interpretability,":[223],"fairness":[224],"security.":[226],"considering":[229],"global":[231],"pandemic":[232],"COVID-19,":[234,260],"also":[237],"existing":[240],"that":[242],"already":[244],"leveraged":[245],"help":[249],"understanding":[252],"mechanism,":[254],"transmission,":[255],"treatment":[256],"prevention":[258],"point":[264],"out":[265],"available":[267],"resources":[268],"opportunities":[271],"future":[273],"research.":[274]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}