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 ...
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 ...
A comprehensive, production-ready implementation of Graph Isomorphism Networks (GIN) for graph classification tasks. This project provides a clean, reproducible, and showcase-ready implementation with ...
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 ...
本项目用C语言实现了三个子图匹配（同构）算法 - ULLMANN(乌尔曼算法)、VF、VF2，其中ULLMANN算法有两个文件，分别是ULLMANN_SAMPLE ...
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