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Martin Simonovsky

2 accepted papers

2017

Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs

CVPR 2017spotlight

A number of problems can be formulated as prediction on graph-structured data. In this work, we generalize the convolution operator from regular grids to arbitrary graphs while avoiding the spectral domain, which allows us to handle graphs of varying size and connectivity. To move beyond a simple di…

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