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 ...
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 ...
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