Abstract: Activation functions are crucial in graph neural networks (GNNs) as they allow defining a nonlinear family of functions to capture the relationship between the input graph data and their ...

Sine, cosine and tangent functions are periodic functions, meaning they repeat themselves at regular intervals. This interval of repetition is known as the period of the function, and this periodicity ...

Graphs of exponential functions: examining the distinctive curve of exponential growth and decay Graphs of logarithmic functions: analysing how logarithmic functions represent the inverse of ...

Abstract: We introduce and characterize those Boolean functions (graph functions) which can be regarded as characteristic functions of graphs of other Boolean functions. An algorithm for detecting ...

Many types of economic problems require that we consider two variables at the same time. A typical example is the relation between price of a commodity and the demand or supply of that commodity. The ...