Abstract: With the rising demand for the performance of sparse matrix-vector multiplication (SpMV) in various fields, traditional optimization approaches for SpMV computation, which are designed ...
Abstract: Heterogeneous graph embedding has recently advanced with two primary directions: self-supervised learning to address the scarcity of labeled data and metapath-free approaches to eliminate ...
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