k-nearest neighbor (kNN) is a widely used learning algorithm for supervised tasks. In practice, the main challenge when using kNN its high sensitivity to hyperparameter setting, including number of nearest neighbors k, distance function, and weighting function. To improve robustness hyperparameters, this study presents novel method based on graph neural network, named kNNGNN. Given training dat...