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Structured Sequence Modeling with Graph Convolutional Recurrent Networks.

, , , and . ICONIP (1), volume 11301 of Lecture Notes in Computer Science, page 362-373. Springer, (2018)

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The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains, , , , and . IEEE signal processing magazine, 30 (3): 83--98 (2013)Fast orthogonal sparse approximation algorithms over local dictionaries., , , and . Signal Process., 91 (12): 2822-2835 (2011)Transient networks of spatio-temporal connectivity map communication pathways in brain functional systems., , , , , , , and . NeuroImage, (2017)A Multiscale Pyramid Transform for Graph Signals., , and . IEEE Trans. Signal Process., 64 (8): 2119-2134 (2016)Plenoptic based super-resolution for omnidirectional image sequences., , , and . ICIP, page 2829-2832. IEEE, (2010)Towards stationary time-vertex signal processing., , , and . ICASSP, page 3914-3918. IEEE, (2017)Tracking Atoms with Particles for Audio-Visual Source Localization., , , and . ICASSP (2), page 753-756. IEEE, (2007)Redundant image representations in security applications., , and . ICIP, page 2151-2154. IEEE, (2004)Approximate compressed sensing: ultra-low power biosignal processing via aggressive voltage scaling on a hybrid memory multi-core processor., , , , , , , and . ISLPED, page 45-50. ACM, (2014)Sparse decomposition over multi-component redundant dictionaries., and . MMSP, page 494-497. IEEE, (2004)