In particular, we propose a graph convolutional regression network (GCRN) for predicting power allocation over Riemannian manifolds in an unsupervised manner. Simulation results demonstrate that the ...

WWL-GPR model (Wasserstein Weisfeiler-Lehman graph kernel with Gaussian Process Regression) for predicting binding motifs and associated adsorption enthalpies of complex adsorbates at transition me ...

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Short-term forecast of different traffic attributes is one of the fundamental tools used in transportation planning. Precisely, accurate predictions of traffic flow are often the basis of an efficient ...