A comprehensive, production-ready implementation of Graph Isomorphism Networks (GIN) for graph classification tasks. This project provides a clean, reproducible, and ...

Abstract: The graph neural networks (GNNs) have drawn much attention for predicting the remaining useful life (RUL) due to their excellent performance in processing correlation relationship among data ...

This study proposes KGI, a novel graph isomorphism network that integrates Kolmogorov-Arnold Networks (KAN) into graph representation learning. Unlike traditional Graph Isomorphism Networks (GIN) that ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

This course is available on the CEMS Exchange, MBA Exchange, MSc in Applicable Mathematics and MSc in Operations Research & Analytics. This course is available with permission as an outside option to ...

Each line segment of a distance-time graph represents one part of a journey. A distance-time graph, sometimes referred to as a travel graph, is a way of representing a journey. It is helpful to have ...