A. Loukas, A. Simonetto, and G. Leus, “Distributed Autoregressive Moving Average Graph Filters,” Signal Processing Letters, vol. 22, no. 11, pp. 1931-1935, 2015.
 D. I. Shuman, S. K. Narang, P. Frossard, A. Ortega, and P. Vandergheynst, “The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains,” IEEE Signal Processing Magazine, vol. 30, no. 3, pp. 83-98, 2013.
 A. Sandryhaila and J. M. F. Moura, “Discrete Signal Processing on Graphs,” Transactions on Signal Processing, vol. 61, no. 7, pp. 1644- 1656, 2013.
 M. G. Rabbat and V. Gripon, “Towards a Spectral Characterization of Signal Supported on Small-World Networks,” in Proceedings of the 2014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), Firenze, Italy, May 2014, pp. 4826 - 4830. [OpenAIRE]
 F. Zhang and E. R. Hancock, “Graph spectral image smoothing using the heat kernel,” Pattern Recognition, vol. 41, no. 11, pp. 3328-3342, 2008.
 D. I. Shuman, P. Vandergheynst, and P. Frossard, “Chebyshev polynomial approximation for distributed signal processing,” in International Conference on Distributed Computing in Sensor Systems and Workshops (DCOSS). IEEE, 2011, pp. 1-8. [OpenAIRE]
 A. J. Smola and R. Kondor, “Kernels and regularization on graphs,” in Learning theory and kernel machines. Springer, 2003, pp. 144-158. [OpenAIRE]
 X. Zhu, Z. Ghahramani, and J. Lafferty, “Semi-supervised learning using gaussian fields and harmonic functions,” in Proceedings of the 20th International Conference on Machine Learning (ICML-2003) Volume 2, vol. 2. AIAA Press, 2003, pp. 912-919.
 M. Belkin and P. Niyogi, “Semi-supervised learning on riemannian manifolds,” Machine learning, vol. 56, no. 1-3, pp. 209-239, 2004.
 S. K. Narang, A. Gadde, and A. Ortega, “Signal processing techniques for interpolation in graph structured data,” in Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on. IEEE, 2013, pp. 5445-5449. [OpenAIRE]
 A. Loukas, M. A. Zu´n˜iga, I. Protonotarios, and J. Gao, “How to identify global trends from local decisions? Event Region Detection on Mobile Networks,” in International Conference on Computer Communications (INFOCOM), 2014.
 D. K. Hammond, P. Vandergheynst, and R. Gribonval, “Wavelets on graphs via spectral graph theory,” Applied and Computational Harmonic Analysis, vol. 30, no. 2, pp. 129-150, 2011. [OpenAIRE]
 X. Dong, D. Thanou, P. Frossard, and P. Vandergheynst, “Learning graphs from signal observations under smoothness prior,” arXiv preprint arXiv:1406.7842, 2014.
 A. Sandryhaila, S. Kar, and J. M. F. Moura, “Finite-time distributed consensus through graph filters,” in International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2014, pp. 1080-1084. [OpenAIRE]
 S. Safavi and U. A. Khan, “Revisiting Finite-Time Distributed Algorithms via Successive Nulling of Eigenvalues,” Signal Processing Letters, IEEE, vol. 22, no. 1, pp. 54-57, 2015.