Due to inappropriate sample selection and limited training data, a
distr...
In node classification using graph neural networks (GNNs), a typical mod...
In graph neural networks (GNNs), both node features and labels are examp...
Markov Decision Process (MDP) presents a mathematical framework to formu...
Graph neural networks (GNNs) have achieved great success in many scenari...
One of the major difficulties of reinforcement learning is learning from...
The problem of estimating event truths from conflicting agent opinions i...
In view of the huge success of convolution neural networks (CNN) for ima...
We investigate the problem of truth discovery based on opinions from mul...