First, the position of a moving target is estimated by utilizing two-step weighted least squares (2WLS) method. Second, the estimated position from the first step is optimized by variable-step ...

The kinematic tracking problem is formulated as a second-order system and the objective is to simultaneously reduce the errors in position and velocity. The extreme learning machines (ELM) algorithm ...

Position-aware Graph Neural Networks. Contribute to JiaxuanYou/P-GNN development by creating an account on GitHub.

A graph neural network (GNN) is a class of neural networks for processing data represented by graph data structures. They were popularized by their use in supervised learning on properties of various ...

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