CayleyNet

2000년 도입 · 논문 1편에서 사용

The core ingredient of CayleyNet is a new class of parametric rational complex functions (Cayley polynomials) allowing to efficiently compute spectral filters on graphs that specialize on frequency bands of interest. The model generates rich spectral filters that are localized in space, scales linearly with the size of the input data for sparsely-connected graphs, and can handle different constructions of Laplacian operators. Description adapted from: CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters

출처: CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters

소개 논문: CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters