Neural networks first treat sentences like puzzles solved by word order, but once they read enough, a tipping point sends ...

It's part of a whirlwind of battery breakthroughs happening around the world that are providing better components, chemistry, ...

Existing GNNs usually conduct the layer-wise message propagation via the ‘full’ aggregation of all neighborhood information which are usually sensitive to the structural noises existed in the graphs, ...

To solve the time-variant Sylvester equation, in 2013, Li et al. proposed the zeroing neural network with sign-bi-power function (ZNN-SBPF) model via constructing a nonlinear activation function. In ...