{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T18:00:35Z","timestamp":1764784835331,"version":"3.28.0"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,12]],"date-time":"2021-12-12T00:00:00Z","timestamp":1639267200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,12]],"date-time":"2021-12-12T00:00:00Z","timestamp":1639267200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,12]]},"DOI":"10.1109\/wsc52266.2021.9715507","type":"proceedings-article","created":{"date-parts":[[2022,2,23]],"date-time":"2022-02-23T20:38:43Z","timestamp":1645648723000},"page":"1-12","source":"Crossref","is-referenced-by-count":4,"title":["DeepABM: Scalable and Efficient Agent-Based Simulations Via Geometric Learning Frameworks - a Case Study For Covid-19 Spread and Interventions"],"prefix":"10.1109","author":[{"given":"Ayush","family":"Chopra","sequence":"first","affiliation":[{"name":"Massachusetts Institute of Technology,Media Lab,MA,USA,02139"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ramesh","family":"Raskar","sequence":"additional","affiliation":[{"name":"Massachusetts Institute of Technology,Media Lab,MA,USA,02139"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jayakumar","family":"Subramanian","sequence":"additional","affiliation":[{"name":"Adobe,Media and Data Science Research Lab,Noida,Uttar Pradesh,INDIA,201304"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Balaji","family":"Krishnamurthy","sequence":"additional","affiliation":[{"name":"Adobe,Media and Data Science Research Lab,Noida,Uttar Pradesh,INDIA,201304"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Esma S.","family":"Gel","sequence":"additional","affiliation":[{"name":"School of Comp., Inf. and Decision Systems Eng., Arizona State University,AZ,USA,85281"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Santiago","family":"Romero-Brufau","sequence":"additional","affiliation":[{"name":"Mayo Clinic,Department of Healthcare Systems Engineering,MN,USA,55905"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kalyan S.","family":"Pasupathy","sequence":"additional","affiliation":[{"name":"Mayo Clinic,Department of Healthcare Systems Engineering,MN,USA,55905"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas C.","family":"Kingsley","sequence":"additional","affiliation":[{"name":"Alix School of Science and Medicine, Mayo Clinic,MN,USA,55905"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"journal-title":"Modes of contact and risk of transmission in COVID-19 among close contacts","year":"0","author":"luo","key":"ref10"},{"key":"ref11","article-title":"Epidemiological parameters of coronavirus disease 2019: a pooled analysis of publicly reported individual data of 1155 cases from seven countries","author":"ma","year":"0","journal-title":"medRxiv"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.25080\/Majora-7b98e3ed-009"},{"key":"ref13","first-page":"8024","article-title":"PyTorch: An Imperative Style, High-Performance Deep Learning Library","author":"paszke","year":"0","journal-title":"Advances in Neural IInformation Processing Systems"},{"journal-title":"The Public Health Impact of Delaying a Second Dose of the BNT162b2 or mRNA-1273 COVID-19 Vaccine","year":"0","author":"romero-brufau","key":"ref14"},{"key":"ref15","article-title":"Graph Attention Networks","author":"veli?kovi?","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"440","DOI":"10.1038\/30918","article-title":"Collective dynamics of &#x2018;small-world&#x2019; networks","volume":"393","author":"watts","year":"1998","journal-title":"Nature"},{"journal-title":"NetLogo","year":"1999","author":"wilensky","key":"ref17"},{"journal-title":"Age profile of susceptibility mixing and social distancing shape the dynamics of the novel coronavirus disease 2019 outbreak in China","year":"0","author":"zhang","key":"ref18"},{"journal-title":"Hierarchical Message-Passing Graph Neural Networks","year":"0","author":"zhong","key":"ref19"},{"key":"ref4","article-title":"Estimating the generation interval for COVID-19 based on symptom onset data","author":"ganyani","year":"0","journal-title":"medRxiv"},{"key":"ref3","doi-asserted-by":"crossref","DOI":"10.1126\/science.abb6936","article-title":"Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing","volume":"368","author":"ferretti","year":"2020","journal-title":"Science"},{"key":"ref6","article-title":"Semi-Supervised Classification with Graph Convolutional Networks","author":"kipf","year":"2016","journal-title":"ArXiv Preprint"},{"journal-title":"OpenABM-Covid19 - an agent-based model for non-pharmaceutical interventions against COVID-19 including contact tracing","year":"0","author":"hinch","key":"ref5"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep Learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref7","article-title":"Semi-Supervised Classification with Graph Convolutional Networks","author":"kipf","year":"0","journal-title":"Proceedings of the 5th International Conference on Learning Representations"},{"key":"ref2","article-title":"Epidemiology and Transmission of COVID-19 in Shenzhen China: Analysis of 391 cases and 1,286 of their close contacts","author":"bi","year":"0","journal-title":"medRxiv"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-335-6.50027-1"},{"journal-title":"Modeling the combined effect of digital exposure notification and non-pharmaceutical interventions on the COVID-19 epidemic in Washington state","year":"0","author":"abueg","key":"ref1"}],"event":{"name":"2021 Winter Simulation Conference (WSC)","start":{"date-parts":[[2021,12,12]]},"location":"Phoenix, AZ, USA","end":{"date-parts":[[2021,12,15]]}},"container-title":["2021 Winter Simulation Conference (WSC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9715283\/9715284\/09715507.pdf?arnumber=9715507","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,15]],"date-time":"2022-06-15T20:16:37Z","timestamp":1655324197000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9715507\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,12]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/wsc52266.2021.9715507","relation":{},"subject":[],"published":{"date-parts":[[2021,12,12]]}}}