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James Rowbottom
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GRAND: Graph Neural Diffusion
BP Chamberlain, J Rowbottom, M Gorinova, S Webb, E Rossi, ...
ICML, 2021
2972021
Graph-Coupled Oscillator Networks
TK Rusch, BP Chamberlain, J Rowbottom, S Mishra, MM Bronstein
arXiv preprint arXiv:2202.02296, 2022
1222022
Beltrami Flow and Neural Diffusion on Graphs
BP Chamberlain, J Rowbottom, D Eynard, F Di Giovanni, X Dong, ...
NeurIPS, 2021
852021
Graph neural networks as gradient flows
F Di Giovanni, J Rowbottom, BP Chamberlain, T Markovich, MM Bronstein
arXiv preprint arXiv:2206.10991, 2022
512022
Understanding convolution on graphs via energies
F Di Giovanni, J Rowbottom, BP Chamberlain, T Markovich, MM Bronstein
arXiv preprint arXiv:2206.10991, 2022
392022
Equivariant Mesh Attention Networks
S Basu, J Gallego-Posada, F Viganò, J Rowbottom, T Cohen
arXiv preprint arXiv:2205.10662, 2022
132022
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
Z Shumaylov, P Zaika, J Rowbottom, F Sherry, M Weber, CB Schönlieb
arXiv preprint arXiv:2410.02698, 2024
2024
G-Adaptive mesh refinement--leveraging graph neural networks and differentiable finite element solvers
J Rowbottom, G Maierhofer, T Deveney, K Schratz, P Liò, CB Schönlieb, ...
arXiv preprint arXiv:2407.04516, 2024
2024
Graph-Coupled Oscillator Networks
T Konstantin Rusch, BP Chamberlain, J Rowbottom, S Mishra, ...
arXiv e-prints, arXiv: 2202.02296, 2022
2022
GRAND: Graph Neural Diffusion Supplementary Material
BP Chamberlain, J Rowbottom, M Gorinova, S Webb, E Rossi, ...
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