A Data Prefetcher-Based 1000-Core RISC-V Processor for Efficient Processing of Graph Neural Networks
Abstract: Graphs-based neural networks have seen tremendous adoption to perform complex predictive analytics on massive real-world graphs. The trend in hardware acceleration has identified significant ...
Abstract: In generalized graph signal processing (GGSP), the signal associated with each vertex in a graph is an element from a Hilbert space. In this paper, we study GGSP signal reconstruction as a ...
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