Sparse Diffusion-Convolutional Neural Networks

26 Oct 2017James AtwoodSiddharth PalDon TowsleyAnanthram Swami

The predictive power and overall computational efficiency of Diffusion-convolutional neural networks make them an attractive choice for node classification tasks. However, a naive dense-tensor-based implementation of DCNNs leads to $\mathcal{O}(N^2)$ memory complexity which is prohibitive for large graphs... (read more)

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