A Sparse Tensor Generator with Efficient Feature Extraction

arXiv:2405.04944v1 Announce Type: cross
Abstract: Sparse tensor operations are gaining attention in emerging applications such as social networks, deep learning, diagnosis, crime, and review analysis. However, a major obstacle for research in sparse tensor operations is the deficiency of a broad-scale sparse tensor dataset. Another challenge in sparse tensor operations is examining the sparse tensor features, which are not only important for revealing its nonzero pattern but also have a significant impact on determining the best-suited storage format, the decomposition …

arxiv cs.lg cs.ms extraction feature feature extraction generator tensor type