{"id":"https://openalex.org/W45505117","doi":null,"title":"Learning Temporal Causal Graphs for Relational Time-Series Analysis","display_name":"Learning Temporal Causal Graphs for Relational Time-Series Analysis","publication_year":2010,"publication_date":"2010-06-21","ids":{"openalex":"https://openalex.org/W45505117","mag":"45505117"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.646.8579","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.646.8579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://snowbird.djvuzone.org/2010/abstracts/142.pdf","raw_type":"text"},"volume":null,"type":"conference-abstract","is_traditional":false,"indexed_in":[],"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/A5100351175","display_name":"Yan Liu","orcid":"https://orcid.org/0000-0002-7055-9518","observed_orcids":["https://orcid.org/0000-0002-7055-9518","https://orcid.org/0000-0003-4242-4840"]},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yan Liu","raw_affiliation_strings":["IBM T.J. Watson Research Center, 1101 Kitchawan Rd, Yorktown Heights, NY, 10598, USA"],"raw_orcid":"https://orcid.org/0000-0003-4242-4840","affiliations":[{"raw_affiliation_string":"IBM T.J. Watson Research Center, 1101 Kitchawan Rd, Yorktown Heights, NY, 10598, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029480393","display_name":"Alexandru Niculescu-Mizil","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexandru Niculescu-Mizil","raw_affiliation_strings":["IBM T.J. Watson Research Center, 1101 Kitchawan Rd, Yorktown Heights, NY, 10598, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM T.J. Watson Research Center, 1101 Kitchawan Rd, Yorktown Heights, NY, 10598, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055054658","display_name":"Aurelie C. Lozano","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aur\u00e9lie Lozano","raw_affiliation_strings":["IBM T.J. Watson Research Center, 1101 Kitchawan Rd, Yorktown Heights, NY, 10598, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM T.J. Watson Research Center, 1101 Kitchawan Rd, Yorktown Heights, NY, 10598, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103022888","display_name":"Yong Chen Lu","orcid":"https://orcid.org/0000-0001-8541-6176","observed_orcids":["https://orcid.org/0000-0001-8541-6176"]},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yong Lu","raw_affiliation_strings":["Harvard Medical School, Harvard University, Boston, MA 02115, USA"],"raw_orcid":"https://orcid.org/0000-0001-8541-6176","affiliations":[{"raw_affiliation_string":"Harvard Medical School, Harvard University, Boston, MA 02115, USA","institution_ids":["https://openalex.org/I136199984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"687","last_page":"694"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9990000128746033,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9990000128746033,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10136","display_name":"Statistical Methods and Inference","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/causal-discovery","display_name":"causal discovery","score":0.8579999804496765},{"id":"https://openalex.org/keywords/multivariate-time-series","display_name":"multivariate time series","score":0.7440000176429749},{"id":"https://openalex.org/keywords/causal-inference","display_name":"causal inference","score":0.3490000069141388},{"id":"https://openalex.org/keywords/climate-data","display_name":"climate data","score":0.5910000205039978},{"id":"https://openalex.org/keywords/gene-expression-microarrays","display_name":"gene expression microarrays","score":0.859000027179718},{"id":"https://openalex.org/keywords/data-scarcity","display_name":"data scarcity","score":0.45899999141693115}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7170851826667786},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7130541801452637},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6066962480545044},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5519208908081055},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.48786163330078125},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47769978642463684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45442819595336914},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.45207902789115906},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44668516516685486},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43910977244377136},{"id":"https://openalex.org/C177877439","wikidata":"https://www.wikidata.org/wiki/Q7604413","display_name":"Statistical relational learning","level":3,"score":0.41592922806739807},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3395878076553345},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.3232530355453491},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.646.8579","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.646.8579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://snowbird.djvuzone.org/2010/abstracts/142.pdf","raw_type":"text"},{"id":"mag:45505117","doi":null,"is_oa":false,"landing_page_url":"https://icml.cc/Conferences/2010/papers/235.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419644","display_name":"International Conference on Machine Learning","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Machine Learning","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W617039848","https://openalex.org/W1486632395","https://openalex.org/W1524326598","https://openalex.org/W1560512119","https://openalex.org/W1663973292","https://openalex.org/W2051148835","https://openalex.org/W2081746825","https://openalex.org/W2118418963","https://openalex.org/W2122825543","https://openalex.org/W2132555912","https://openalex.org/W2132663737","https://openalex.org/W2137099275","https://openalex.org/W2138019504","https://openalex.org/W2142277116","https://openalex.org/W2157265037"],"related_works":["https://openalex.org/W3000566972","https://openalex.org/W2051708352","https://openalex.org/W173335795","https://openalex.org/W2752377966","https://openalex.org/W7100103066","https://openalex.org/W7129047269","https://openalex.org/W6999544962","https://openalex.org/W4391097749","https://openalex.org/W1594484747","https://openalex.org/W3009228004"],"abstract_inverted_index":{"Identifying":[0],"causality":[1],"in":[2,17,104,161],"multivariate":[3,40],"time-series":[4,41,98,133,136,145,160],"data":[5,52,73,186],"is":[6,36,164],"a":[7,30,44,56,127,169,194,202],"topic":[8],"or":[9,110,119],"significant":[10],"interest":[11],"due":[12,184],"to":[13,28,153,185,191],"its":[14],"many":[15,33],"applications":[16],"fields":[18],"as":[19,21,97],"diverse":[20],"neuroscience,":[22],"economics,":[23],"climate":[24,49,108],"science,":[25],"and":[26,50,67,82],"microbiology":[27],"name":[29],"few.":[31],"In":[32],"applications,":[34],"one":[35,87,147,189],"presented":[37],"with":[38,64],"multiple":[39],"rather":[42],"than":[43,167],"single":[45],"one.":[46],"For":[47],"instance,":[48],"meteorological":[51],"are":[53,74,137],"collected":[54,75,100],"at":[55,101,177],"variety":[57],"of":[58,107,151],"different":[59,65,77,80,84,94,132,195],"location":[60],"on":[61,115],"the":[62,105,116,121,131,149,155,178,182,205],"globe,":[63],"instruments":[66],"measurement":[68],"protocols;":[69],"gene":[70],"expression":[71],"microarray":[72,111],"for":[76,158,173,198],"species,":[78,118],"under":[79,120],"conditions,":[81],"by":[83,139],"labs.":[85],"Moreover,":[86],"can":[88],"usually":[89],"identify":[90],"relationships":[91,125],"between":[92],"these":[93],"time-series,":[95,175],"such":[96,143],"being":[99,113],"neighboring":[102],"locations":[103],"case":[106],"data,":[109,146],"experiments":[112],"conducted":[114],"same":[117,122,179],"conditions.":[123],"These":[124],"define":[126],"\u201crelational":[128],"graph\u201d":[129],"among":[130],"where":[134],"related":[135],"connected":[138],"an":[140],"edge.":[141],"Given":[142],"relational":[144],"faces":[148],"question":[150],"how":[152],"infer":[154],"causal":[156,171,196],"structure":[157,197],"each":[159,199],"manner":[162],"that":[163],"more":[165],"flexible":[166],"requiring":[168],"common":[170],"graph":[172],"all":[174],"while,":[176],"time,":[180],"avoiding":[181],"brittleness":[183],"scarcity":[187],"if":[188],"were":[190],"independently":[192],"learn":[193],"time-series.":[200],"At":[201],"first":[203],"approximation,":[204]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":5}],"updated_date":"2026-11-06T12:05:46.655746","created_date":"2016-06-24T00:00:00"}