Graph Models

Diffusion-Convolutional Neural Networks

Introduced by Atwood et al. in Diffusion-Convolutional Neural Networks

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

Source: Diffusion-Convolutional Neural Networks

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🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

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