The subtree contains Exynos delegate implementation for ExecuTorch. The target of delegation is deploying torch model to run with exynos NPU/DSP. This backend is implemented on the top of ...
A Bi-objective Graph Partitioning Method Based on Graph Attention and Differentiable Hard Assignment
Abstract: This paper proposes DH-GATP as a solution to the bi-objective graph partitioning problem. DH-GATP is a Graph Neural Network (GNN) model that integrates differentiable hard assignment with a ...
Neuro-Graph-Analytics is a powerful Python library designed for the in-depth analysis of complex neural network architectures through the lens of graph theory. It provides tools to represent neural ...
Abstract: Expanding the scale of deep neural networks (DNNs) is a fundamental approach to improving the performance and accuracy of the model. However, as DNN models continue to grow in complexity, a ...
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