Abstract: This paper presents polychronous oscillatory cellular neural networks, designed for solving graph coloring problems. We propose to apply the Potts model to the four-coloring problem, using a ...
Abstract: The use of a non-conventional linear programming technique, involving a piecewise differentiable penalty function minimization, is presented in this paper in connection with power system ...
Physicist Albert Einstein famously posited that if he only had an hour to crack a daunting problem, he'd devote 55 minutes to ...
DeepMind’s AI finds new, proven solutions to Navier-Stokes equations—advancing fluid dynamics and future climate, flight, and ...
At its core, the SPARKLINE function in Google Sheets takes a row of numbers and turns them into a mini chart that lives right inside a single cell. Instead of inserting a full-sized chart that eats up ...
The enlightened truth of the role of fire in human evolution. Illustration by Paul Garland The next time you find yourself lost in thought while gazing at a fireplace ablaze or even a solitary candle ...
Struct2GO is a protein function prediction model based on self-attention graph pooling, which utilizes structural information from AlphaFold2 to augment the accuracy and generality of the model's ...
This repository contains everything related to solving the Job-Shop Scheduling Problem (JSSP) with Graph Neural Networks (GNNs). I am currently moving and refactoring part of the code (and adding new ...
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