On the eve of the upcoming week’s Group of Seven (G7) meeting, Canadian Prime Minister Mark Carney has reiterated his vision of a shift away from a world order dominated by superpowers. Carney ...
Abstract: Graph neural networks (GNNs) have emerged as a powerful framework for a wide range of node-level graph learning tasks. However, their performance typically depends on random or minimally ...
Did you know that the 'cubic function,' which frequently appears in university entrance exam mathematics, actually hides a beautiful 'symmetry' in its graph? If you know this property, you can find ...
Abstract: Neural operators, such as graph neural operators (GNOs) and Fourier neural operators (FNOs), directly learn the mapping from any functional parametric dependence to the solution and have ...