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cs.LG2016
Learning Sparse Graphs Under Smoothness Prior
Sundeep Prabhakar Chepuri, Sijia Liu, Geert Leus +1
In this paper, we are interested in learning the underlying graph structure behind training data. Solving this basic problem is essential to carry out any graph signal processing o…
cs.LG2016★ 268 cited
Autoregressive Moving Average Graph Filtering
Elvin Isufi, Andreas Loukas, Andrea Simonetto +1
One of the cornerstones of the field of signal processing on graphs are graph filters, direct analogues of classical filters, but intended for signals defined on graphs. This work…