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Graph Representation Learning via Graphical Mutual Information Maximization., , , , , , и . WWW, стр. 259-270. ACM / IW3C2, (2020)A Survey of Fog Computing in Wireless Sensor Networks: Concepts, Frameworks, Applications and Issues., , , , , и . Ad Hoc Sens. Wirel. Networks, 44 (1-2): 109-130 (2019)Dependable Cascading Target Tracking in Heterogeneous Mobile Camera Sensor Networks., , , , и . ICA3PP (Workshops and Symposiums), том 9532 из Lecture Notes in Computer Science, стр. 531-540. Springer, (2015)A Scalable Nonoverlapping and Nonconformal Domain Decomposition Method for Solving Time-Harmonic Maxwell Equations in R3., и . SIAM J. Sci. Comput., (2012)Curiosity-driven learning with Context Tree Weighting., и . ICDL-EPIROB, стр. 366-367. IEEE, (2014)Parallelizing pruned landmark labeling: dealing with dependencies in graph algorithms., , , , , и . ICS, стр. 11:1-11:13. ACM, (2020)ATMem: adaptive data placement in graph applications on heterogeneous memories., , , , и . CGO, стр. 293-304. ACM, (2020)Continuous tracking for mobile targets with mobility nodes in WSNs., , , , и . SMARTCOMP, стр. 261-268. IEEE Computer Society, (2014)Fault Diagnosis from Raw Sensor Data Using Deep Neural Networks Considering Temporal Coherence., , , , и . Sensors, 17 (3): 549 (2017)Learning dynamic graph representations through timespan view contrasts., , , , и . Neural Networks, (2024)