This is an implementation of a Class for Polynomial Algebraic Expressions (referred to in the following as polynomials). Requirements are to implement functions for: getting variables in a polynomial ...

27 The first rule removes degree-one vertices from the input graph (see also ... for speeding up slow polynomial-time algorithms. The overall message we offer here is that looking through ...

Graph Neural Networks (GNNs) exploit signals from node features and the input graph topology to improve node classification task performance. Recently proposed GNNs work across a variety of homophilic ...

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 ...