The Graph Diffusion Convolution (GDC) technique presented in this paper demonstrates how incorporating diffusion processes can enhance graph learning. By leveraging graph diffusion, GDC can ...

I picked this fork as a basis for my Prompt Graph app, since it contains a ton of optimizations that allow Stable Diffusion to be run on my local GPU (NVIDIA 2070 Super). In the future, I could easily ...

Being the most cutting-edge generative methods, diffusion methods have shown great advances in wide generation tasks. Among them, graph generation attracts significant research attention for its broad ...

From these plots, the self-diffusion coefficient for water at the two different temperatures can be extracted from the negative of the slope as described above. In Table 1, the measured values of the ...

Diffusion processes, characterised through operators such as the graph Laplacian, foster the development of diffusion maps which yield robust, multi-scale representations.

Benchtop NMR instruments have brought convenient, fast sample analysis into many research and industrial chemistry laboratories, but while early applications largely focused on basic 1D 1H NMR spectra ...

From these plots, the self-diffusion coefficient for water at the two different temperatures can be extracted from the negative of the slope as described above. In Table 1, the measured values of the ...