This is a PyTorch implementation of graph-adaptive activation functions for Graph Neural Networks (GNNs). For any questions or suggestions, please e-mail Bianca Iancu at [email protected] or ...
Supplementary data in support of the paper: Improved Driving Functions for Rectangular Loudspeaker Arrays Driven by Sound Field Synthesis Latest ...
Abstract: We derive the optimum arrangements suitable for efficient multiplexing and demultiplexing in optical networks. By using a planar arrangement of waveguide arrays, nearly ideal rectangular ...
Abstract: Construction of orthogonal Kravchenko wavelets is similar to Meyer wavelets. It begins from Fourier transform of scaling function. It must be supported on the segment $[- 4 \pi /3; 4 \pi ...
Graphs of exponential functions and logarithmic functions provide a visual insight into their properties, such as growth, decay, and the inverse relationship between them. Graphs of exponential ...
This paper primarily focuses on the derivation of fractal numerical integration for the data sets corresponding to two variable signals defined over a rectangular region. Evaluating numerical ...
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