{"id":"https://openalex.org/W4391097749","doi":"https://doi.org/10.1109/bigdata59044.2023.10386978","title":"Efficient Estimation of Local Causal Effects in Graphs via Neighborhood Pooling","display_name":"Efficient Estimation of Local Causal Effects in Graphs via Neighborhood Pooling","publication_year":2023,"publication_date":"2023-12-15","ids":{"openalex":"https://openalex.org/W4391097749","doi":"https://doi.org/10.1109/bigdata59044.2023.10386978"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata59044.2023.10386978","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata59044.2023.10386978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","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/A5009957887","display_name":"Ryan A. Rossi","orcid":"https://orcid.org/0000-0001-9758-0635"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ryan Rossi","raw_affiliation_strings":["Adobe Research"],"affiliations":[{"raw_affiliation_string":"Adobe Research","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023589965","display_name":"Somdeb Sarkhel","orcid":null},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Somdeb Sarkhel","raw_affiliation_strings":["Adobe Research"],"affiliations":[{"raw_affiliation_string":"Adobe Research","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059294839","display_name":"Nesreen K. Ahmed","orcid":"https://orcid.org/0000-0002-7913-4962"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nesreen Ahmed","raw_affiliation_strings":["Intel Labs"],"affiliations":[{"raw_affiliation_string":"Intel Labs","institution_ids":["https://openalex.org/I1343180700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009957887"],"corresponding_institution_ids":["https://openalex.org/I1306409833"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19352409,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"542","last_page":"547"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9977999925613403,"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":0.9977999925613403,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9940000176429749,"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/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9873999953269958,"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/inference","display_name":"Inference","score":0.6599434018135071},{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.640072226524353},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5774087905883789},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5726695656776428},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5578184723854065},{"id":"https://openalex.org/keywords/causal-structure","display_name":"Causal structure","score":0.5352683067321777},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4761107861995697},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.45267486572265625},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.43352165818214417},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4282684326171875},{"id":"https://openalex.org/keywords/causal-model","display_name":"Causal model","score":0.41848060488700867},{"id":"https://openalex.org/keywords/null-model","display_name":"Null model","score":0.4100510776042938},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3501633405685425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.316896915435791},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2695155739784241},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.21383178234100342},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08962956070899963}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6599434018135071},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.640072226524353},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5774087905883789},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5726695656776428},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5578184723854065},{"id":"https://openalex.org/C163504300","wikidata":"https://www.wikidata.org/wiki/Q2364925","display_name":"Causal structure","level":2,"score":0.5352683067321777},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4761107861995697},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.45267486572265625},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.43352165818214417},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4282684326171875},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.41848060488700867},{"id":"https://openalex.org/C36382193","wikidata":"https://www.wikidata.org/wiki/Q7068966","display_name":"Null model","level":2,"score":0.4100510776042938},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3501633405685425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.316896915435791},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2695155739784241},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.21383178234100342},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08962956070899963},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata59044.2023.10386978","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata59044.2023.10386978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W122059025","https://openalex.org/W658722133","https://openalex.org/W984122461","https://openalex.org/W1489364417","https://openalex.org/W1498973410","https://openalex.org/W1506399260","https://openalex.org/W1967579779","https://openalex.org/W1994473607","https://openalex.org/W2032036108","https://openalex.org/W2049910836","https://openalex.org/W2061820396","https://openalex.org/W2082299845","https://openalex.org/W2095056536","https://openalex.org/W2114242548","https://openalex.org/W2133254907","https://openalex.org/W2142665406","https://openalex.org/W2143117649","https://openalex.org/W2143891888","https://openalex.org/W2152886806","https://openalex.org/W2155163959","https://openalex.org/W2163032501","https://openalex.org/W2163431617","https://openalex.org/W2326415568","https://openalex.org/W2361177933","https://openalex.org/W2400194187","https://openalex.org/W2569283211","https://openalex.org/W2735728227","https://openalex.org/W2891463439","https://openalex.org/W3043009419","https://openalex.org/W3106294663","https://openalex.org/W4236213345","https://openalex.org/W4239728164","https://openalex.org/W6604178252","https://openalex.org/W6629022798","https://openalex.org/W6630235384","https://openalex.org/W6712586483","https://openalex.org/W6754662486"],"related_works":["https://openalex.org/W3215034539","https://openalex.org/W4403292511","https://openalex.org/W2161504683","https://openalex.org/W4386620154","https://openalex.org/W4389961576","https://openalex.org/W4294555408","https://openalex.org/W4372260129","https://openalex.org/W1153243621","https://openalex.org/W4299782962","https://openalex.org/W4386839885"],"abstract_inverted_index":{"In":[0],"this":[1,35],"work,":[2],"we":[3,127],"formalize":[4],"the":[5,19,40,54,88,97,107,118,121,129,132],"problem":[6,36],"of":[7,51,96,110,120,131],"causal":[8,31,49,57,82,101,133],"inference":[9,32,58,102,134],"over":[10],"graph-based":[11],"relational":[12,55,99,147],"time-series":[13,25,44,56,100,148],"data":[14,139,149],"where":[15],"each":[16],"node":[17],"in":[18],"graph":[20,41,89],"has":[21],"one":[22],"or":[23],"more":[24],"associated":[26],"to":[27,45,62,115],"it.":[28],"We":[29,78,104],"propose":[30],"models":[33,59,83,135],"for":[34,66,117],"that":[37,80,84],"leverage":[38],"both":[39,137],"topology":[42,90],"and":[43,75,143],"accurately":[46],"estimate":[47,63],"local":[48,64,71],"effects":[50,65],"nodes.":[52],"Furthermore,":[53],"are":[60,91],"able":[61],"individual":[67],"nodes":[68],"by":[69],"exploiting":[70],"node-centric":[72],"temporal":[73],"dependencies":[74],"topological/structural":[76],"dependencies.":[77],"show":[79],"simpler":[81],"do":[85],"not":[86],"consider":[87],"recovered":[92],"as":[93],"special":[94],"cases":[95],"proposed":[98,122],"model.":[103],"describe":[105],"how":[106],"DurbinWu-Hausman":[108],"test":[109,116],"specification":[111],"can":[112],"be":[113],"used":[114],"consistency":[119],"estimator":[123],"from":[124,152],"data.":[125],"Empirically,":[126],"demonstrate":[128],"effectiveness":[130],"on":[136],"synthetic":[138],"with":[140],"known":[141],"ground-truth":[142],"a":[144],"largescale":[145],"observational":[146],"set":[150],"collected":[151],"Wikipedia.":[153]},"counts_by_year":[],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}