Abstract: The proposal of Graph Convolutional Networks (GCN) gives the neural network a better performance to understand graph structure data. Therefore, GCN has a natural advantage in the action ...
Abstract: Many problems in scientific and engineering applications contain sparse matrices or graphs as main input objects, e.g., numerical simulations on meshes. Large inputs are abundant these days ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results