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Found 2 papers, 1 papers with code
Temporal and Heterogeneous Graph Neural Network for Remaining Useful Life Prediction
To capture the nuances of the temporal and spatial relationships and heterogeneous characteristics in an interconnected graph of sensors, we introduce a novel model named Temporal and Heterogeneous Graph Neural Networks (THGNN).
A New Outlier Removal Strategy Based on Reliability of Correspondence Graph for Fast Point Cloud Registration
We use a simple and intuitive method to describe the 6-DOF (degree of freedom) curtailment process in point cloud registration and propose an outlier removal strategy based on the reliability of the correspondence graph.
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