GitHub

Graph Neural Differential Equations

This repository contains code for Graph Neural ODE++. This work was completed as part of CPSC 483: Deep Learning on Graph-Structured Data. We propose Graph Neural ODE++, an improved paradigm for Graph ...
IEEE

Graph Neural Ordinary Differential Equations-based method for Collaborative Filtering

Abstract: Graph Convolution Networks (GCNs) are widely considered state-of-the-art for collaborative filtering. Although several GCN-based methods have been proposed and achieved state-of-the-art ...
Nature

Differential equations articles from across Nature Portfolio

A differential equation is an equality constraining a mathematical function in relation to its derivatives over one or multiple variables. Such equations may constitute the mathematical model for a ...
IEEE

Exploring Efficient Partial Differential Equation Solution Using Speed Galerkin Transformer

Abstract: Fourier Neural Operator (FNO) has been proven to be a universal and effective deep learning framework capable of achieving remarkable accuracy on Partial Differential Equation (PDE) solution ...
GitHub

Graph Neural Controlled Differential Equations

This repository provides the official implementations and experiments for our paper ``Learning Dynamic Graph Embeddings with Neural Controlled Differential Equations''. For the JAX version and ...
Scientific Research Publishing

Schrödinger Operators on Graphs and Branched Manifolds

Modeling the Effects of Interactions between Environmental Variables on the State of an Environmental Issue: The Case of the Morelos State in Mexico (Articles) ...