As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
Abstract: In this work, we propose a complex-valued neural operator (CV-NeuralOp) based on graph neural networks (GNNs) to solve 2-D wave equations. Inspired by Green’s function method for solving ...
ABSTRACT: Background/Objectives: HANS (human papillomavirus vaccination-associated neuroimmunopathic syndrome) is a type of adverse reaction to HPV vaccination that causes cognitive dysfunction. Human ...
Enterprises are bullish on agentic applications that can understand user instructions and intent to perform different tasks in digital environments. It’s the next wave in the age of generative AI, but ...
Scientists at Université de Montréal and its affiliated Montreal Clinical Research Institute (IRCM) have uncovered unique roles for a protein complex in the structural organization and function of ...
ABSTRACT: In this paper, we calculate the absolute tensor square of the Dirichlet L-functions and show that it is expressed as an Euler product over pairs of primes. The method is to construct an ...
Written in C++ this piece of software includes functions to convert HSL to RGB colors, to manipulate the screen using the mouse, and most importantly it can graph complex functions. Use your mouse to ...
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