Abstract: Graph neural networks (GNNs), a class of deep learning models designed for performing information interaction on non-Euclidean graph data, have been successfully applied to node ...
public void buildNetwork(){ //cteate network and set parameter network = new Network(); network.setBatch(100); network.setLoss(new LogLikeHoodLoss()); //network ...
Abstract: Deep learning is a powerful technique for data-driven learning in the era of Big Data. However, most deep learning models are deterministic models that ignore the uncertainty of data. Fuzzy ...
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