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[PDF][PDF] Position paper: Challenges and opportunities in topological deep learning
T Papamarkou, T Birdal, M Bronstein… - ar** machine learning
models on graphs to account for topological inductive biases. In particular, recent attention …
models on graphs to account for topological inductive biases. In particular, recent attention …
[HTML][HTML] The three way Dirac operator and dynamical Turing and Dirac induced patterns on nodes and links
Topological signals are dynamical variables not only defined on nodes but also on links of a
network that are gaining significant attention in non-linear dynamics and topology and have …
network that are gaining significant attention in non-linear dynamics and topology and have …
Tangent bundle convolutional learning: from manifolds to cellular sheaves and back
In this work we introduce a convolution operation over the tangent bundle of Riemann
manifolds in terms of exponentials of the Connection Laplacian operator. We define tangent …
manifolds in terms of exponentials of the Connection Laplacian operator. We define tangent …