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 ...
Abstract: A hybrid method is proposed that combines the subgraph isomorphism algorithm VF2 and a relational graph convolutional network (RGCN) model for the recognition and classification of ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback