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Boosting-GNN: Boosting Algorithm for Graph Networks on Imbalanced Node Classification
Traditional methods such as resampling, reweighting, and synthetic samples that deal with imbalanced datasets are no longer applicable in GNN.
Deep-Unfolding Neural-Network Aided Hybrid Beamforming Based on Symbol-Error Probability Minimization
In this paper, we first mathematically formulate the problem of hybrid transceiver design under the minimum SER (MSER) optimization criterion and then develop a MSER-based gradient descent (GD) iterative algorithm to find the related stationary points.
Excitation allocation for generic identifiability of linear dynamic networks with fixed modules
Identifiability of linear dynamic networks requires the presence of a sufficient number of external excitation signals.
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