112 citations · 491 across the 39 of their papers we have counts for
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eess.SP2017
Learning flexible representations of stochastic processes on graphs
Addison Bohannon, Brian Sadler, Radu Balan
Graph convolutional networks adapt the architecture of convolutional neural networks to learn rich representations of data supported on arbitrary graphs by replacing the convolutio…
cs.SI2017★ 19 cited
Graph Filters and the Z-Laplacian
Xiaoran Yan, Brian M. Sadler, Robert J. Drost +2
In network science, the interplay between dynamical processes and the underlying topologies of complex systems has led to a diverse family of models with different interpretations.…