Graham generalizes sparse convolutional neural networks previously considered in  to 3D data. His approach is twofold:
Graham conducts several experiments meant as proof of concept how these two techniques can be used to speed up 3D convolutional networks, see the paper.
The idea with a tetrahedral grid seems interesting, but concerning the speeded up convolutions, the approach by Engelcke et al.  seems more elegant.