Abstract: Understanding the underlying graph structure of a nonlinear map over a particular domain is essential in evaluating its potential for real applications. In this paper, we investigate the ...

Abstract: Recently, polynomial graph filter learning (PGFL) has demonstrated promising performance for modeling graph signals in Graph Neural Networks (GNNs) on both homophilic and heterophilic graphs ...

Grandville’s elementary school leaders are excited about their new tool for teaching math, called Illustrative Mathematics.

This repository contains a PyTorch implementation of ICLR 2024 paper "PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters". We provide the small datasets in the folder 'data' ...

Axiom Math, which has recruited top talent from Meta, has raised $64 million in seed funding to build an AI math whiz.

The Etch A Sketch was never supposed to meet a Raspberry Pi, a camera, or a mathematical algorithm, but here we are. [Tekavou ...

Bass fishing electronics have come a long way since the early days of flashers on the dash. Today's anglers rely on ...

Murray Grimwood says we are headed for a global one-off readjustment of life as we know it that will be of epic proportions - ...

We've wondered for centuries whether knowledge is latent and innate or learned and grasped through experience, and a new ...

This repository contains JavaScript based examples of many popular algorithms and data structures. Each algorithm and data structure has its own separate README with related explanations and links for ...

What began with a focus on weather forecasting has evolved toward addressing errors in scientific modeling. In the collaborative environment of the Penn State Institute for Computational and Data ...

This book is a unique work which provides an in-depth exploration into the mathematical expertise, philosophy, and knowledge of H W Gould. It is written in a style that is accessible to the reader ...