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Found 2 papers, 1 papers with code
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators
A GCN takes as input an arbitrarily structured graph and executes a series of layers which exploit the graph's structure to calculate their output features.
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators
Graph convolutional networks (GCNs) are becoming increasingly popular as they can process a wide variety of data formats that prior deep neural networks cannot easily support.
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