{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,12]],"date-time":"2026-01-12T21:23:29Z","timestamp":1768253009730,"version":"3.49.0"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,10,17]],"date-time":"2021-10-17T00:00:00Z","timestamp":1634428800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,10,17]],"date-time":"2021-10-17T00:00:00Z","timestamp":1634428800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,17]],"date-time":"2021-10-17T00:00:00Z","timestamp":1634428800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,10,17]]},"DOI":"10.1109\/smc52423.2021.9658873","type":"proceedings-article","created":{"date-parts":[[2022,1,6]],"date-time":"2022-01-06T20:34:35Z","timestamp":1641501275000},"page":"3245-3251","source":"Crossref","is-referenced-by-count":5,"title":["Bayesian Graph Neural Network for Fast identification of critical nodes in Uncertain Complex Networks"],"prefix":"10.1109","author":[{"given":"Sai","family":"Munikoti","sequence":"first","affiliation":[]},{"given":"Laya","family":"Das","sequence":"additional","affiliation":[]},{"given":"Balasubramaniam","family":"Natarajan","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","article-title":"Bayesian graph convolutional neural networks using non-parametric graph learning","author":"pal","year":"2019"},{"key":"ref11","first-page":"807","article-title":"A genetic algorithm for enhancing the robustness of complex networks through link protection","author":"pizzuti","year":"2018","journal-title":"International Conference on Complex Networks and Their Applications"},{"key":"ref12","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2016"},{"key":"ref13","first-page":"1024","article-title":"Inductive representation learning on large graphs","author":"hamilton","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2021.107627"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/RNDM.2015.7324302"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.laa.2011.02.024"},{"key":"ref17","article-title":"Large scale graph learning from smooth signals","author":"kalofolias","year":"2017"},{"key":"ref18","first-page":"1050","article-title":"Dropout as a bayesian approximation: Representing model uncertainty in deep learning","author":"gal","year":"2016","journal-title":"International Conference on Machine Learning"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1140\/epjb\/e2014-50276-0"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/DRCN.2015.7149007"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1142\/9789812771667_0007"},{"key":"ref5","article-title":"scalable graph neural network for identifying critical nodes complex network","author":"munikoti","year":"2020"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijcip.2018.05.005"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/RNDM.2015.7325231"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.04.039"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.03.031"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"5829","DOI":"10.1609\/aaai.v33i01.33015829","article-title":"Bayesian graph convolutional neural networks for semi-supervised classification","volume":"33","author":"zhang","year":"2019","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"}],"event":{"name":"2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","location":"Melbourne, Australia","start":{"date-parts":[[2021,10,17]]},"end":{"date-parts":[[2021,10,20]]}},"container-title":["2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9658572\/9658575\/09658873.pdf?arnumber=9658873","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:56:26Z","timestamp":1652201786000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9658873\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,17]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/smc52423.2021.9658873","relation":{},"subject":[],"published":{"date-parts":[[2021,10,17]]}}}