Abstract: Graph Convolutional Networks (GCNs) rely heavily on the quality of the input graph, which is often defined by a fixed neighborhood size. This work explores two complementary strategies to ...
Abstract: An approach to multiclass tumor classification using the K-Nearest Neighbour(KNN) classification model. The model is trained on the original dataset. We also performed various Statistical ...
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