Graph Neural Networks (GNNs) exploit signals from node features and the input graph topology to improve node classification task performance. However, these models tend to perform poorly on ...

Based on the Hadamard product of power series, polynomial series expansions for confluent hypergeometric functions M(a, c; ·) and for Gaussian hypergeometric functions F(a, b; c; ·) are introduced and ...

Mathematics of Computation, Vol. 87, No. 311 (May 2018), pp. 1415-1450 (36 pages) This work proposes and analyzes a compressed sensing approach to polynomial approximation of complex-valued functions ...