《Exploring the Granularity of Sparsity in Convolutional Neural Networks》 《PCNN: Pattern-based Fine-Grained Regular Pruning Towards Optimizing CNN Accelerators 》 《LEARNING N:M FINE-GRAINED STRUCTURED SPARSE NEURAL NETWORKS FROM SCRATCH》 https://github.com/NM-sparsity/NM-sparsity
The activation function 𝜎σ ensures nonlinearity, with ReLU or LeakyReLU commonly used to enhance the learning of sparse features. After K layers of message passing, the node embeddings encode comprehensive structural information. The graph-level spatial embedding 𝑒structestruct is computed by ...
The activation function 𝜎σ ensures nonlinearity, with ReLU or LeakyReLU commonly used to enhance the learning of sparse features. After K layers of message passing, the node embeddings encode comprehensive structural information. The graph-level spatial embedding 𝑒structestruct is computed by ...