{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T17:37:07Z","timestamp":1730223427831,"version":"3.28.0"},"reference-count":16,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,12,4]],"date-time":"2023-12-04T00:00:00Z","timestamp":1701648000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,4]],"date-time":"2023-12-04T00:00:00Z","timestamp":1701648000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62271430"],"award-info":[{"award-number":["62271430"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,12,4]]},"DOI":"10.1109\/globecom54140.2023.10437361","type":"proceedings-article","created":{"date-parts":[[2024,2,26]],"date-time":"2024-02-26T14:45:36Z","timestamp":1708958736000},"page":"4522-4527","source":"Crossref","is-referenced-by-count":0,"title":["Topology Design for Robust IoT Data Gathering via Bayesian Networks"],"prefix":"10.1109","author":[{"given":"Haiyan","family":"Wei","sequence":"first","affiliation":[{"name":"School of Informatics, Xiamen University,China"}]},{"given":"Zhenlong","family":"Xiao","sequence":"additional","affiliation":[{"name":"School of Informatics, Xiamen University,China"}]},{"given":"Xinghao","family":"Ding","sequence":"additional","affiliation":[{"name":"School of Informatics, Xiamen University,China"}]},{"given":"Xianbin","family":"Wang","sequence":"additional","affiliation":[{"name":"Western University,Department of Electrical and Computer Engineering,Canada"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MPRV.2007.27"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2235192"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3024763"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2017.2726975"},{"key":"ref5","first-page":"920","article-title":"How to learn a graph from smooth signals","volume-title":"Artificial Intelligence and Statistics","author":"Kalofolias","year":"2016"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2019.2896229"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.3014597"},{"key":"ref8","first-page":"518","article-title":"Bayesian structure learning with generative flow networks","volume-title":"Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, ser. Proceedings of Machine Learning Research","volume":"180","author":"Deleu","year":"2022"},{"key":"ref9","first-page":"7095","article-title":"BCD nets: Scalable variational approaches for bayesian causal discovery","volume":"34","author":"Cundy","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref10","first-page":"7154","article-title":"DAG-GNN: DAG structure learning with graph neural networks","volume-title":"International Conference on Machine Learning","author":"Yu","year":"2019"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2634543"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/DSW.2018.8439888"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2017.2698369"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511803161"},{"key":"ref15","article-title":"Learning latent permutations with gumbel-sinkhorn networks","volume-title":"International Conference on Learning Representations","author":"Mena","year":"2018"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s00365-007-9004-9"}],"event":{"name":"GLOBECOM 2023 - 2023 IEEE Global Communications Conference","start":{"date-parts":[[2023,12,4]]},"location":"Kuala Lumpur, Malaysia","end":{"date-parts":[[2023,12,8]]}},"container-title":["GLOBECOM 2023 - 2023 IEEE Global Communications Conference"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10436708\/10436716\/10437361.pdf?arnumber=10437361","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T20:25:03Z","timestamp":1709238303000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10437361\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,4]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/globecom54140.2023.10437361","relation":{},"subject":[],"published":{"date-parts":[[2023,12,4]]}}}