Abstract: By optimizing the data layout ahead-of-time, graph reordering can effectively improve the memory access locality in graph processing. The reordered graphs derived by sophisticated graph ...
Abstract: We develop a novel 2D functional learning framework that employs a sparsity-promoting regularization based on second-order derivatives. Motivated by the nature of the regularizer, we ...
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