BibTex format
@inproceedings{Chamberlain:2021,
author = {Chamberlain, BP and Rowbottom, J and Eynard, D and Di, Giovanni F and Dong, X and Bronstein, MM},
pages = {1594--1609},
title = {Beltrami Flow and Neural Diffusion on Graphs},
year = {2021}
}
Publications
Citation
RIS format (EndNote, RefMan)
TY - CPAPER
AB - We propose a novel class of graph neural networks based on the discretised Beltrami flow, a non-Euclidean diffusion PDE. In our model, node features are supplemented with positional encodings derived from the graph topology and jointly evolved by the Beltrami flow, producing simultaneously continuous feature learning and topology evolution. The resulting model generalises many popular graph neural networks and achieves state-of-the-art results on several benchmarks.
AU - Chamberlain,BP
AU - Rowbottom,J
AU - Eynard,D
AU - Di,Giovanni F
AU - Dong,X
AU - Bronstein,MM
EP - 1609
PY - 2021///
SN - 1049-5258
SP - 1594
TI - Beltrami Flow and Neural Diffusion on Graphs
ER -