DCNN

2000년 도입 · 논문 277편에서 사용

Diffusion-convolutional neural networks (DCNN) is a model for graph-structured data. Through the introduction of a diffusion-convolution operation, diffusion-based representations can be learned from graph structured data and used as an effective basis for node classification. Description and image from: Diffusion-Convolutional Neural Networks

출처: Diffusion-Convolutional Neural Networks

소개 논문: Diffusion-Convolutional Neural Networks