Chebyshev interpolation polynomials exhibit the exponential approximation property to analytic functions on a cube. Based on the Chebyshev interpolation polynomial approximation, we propose iterative ...

PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters This repository contains a PyTorch implementation of ICLR 2024 paper " PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable ...

In the paper, the authors find series expansions and identities for positive integer powers of inverse (hyperbolic) sine and tangent, for composite of incomplete gamma function with inverse hyperbolic ...

Learn how total return swaps work, their benefits, and risks, with easy examples that illustrate the payments and returns based on underlying asset performance.

A curated list of biomedical knowledge graphs and of resources for their construction. This repository is inspired by awesome lists and follows the style guide of the awesome manifesto.

How to Graph a Demand Schedule It can be useful to graph a demand and supply schedules for a visual representation of the market for a particular product.

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Exploring and travelling involves moving between vertices along the edges of a graph. Understanding the various methods and mathematical principles behind this allows for the identification of the ...