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06/06/2023
How does over-squashing affect the power of GNNs?
Graph Neural Networks (GNNs) are the state-of-the-art model for machine ...
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05/15/2023
Neural Oscillators are Universal
Coupled oscillators are being increasingly used as the basis of machine ...
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03/20/2023
A Survey on Oversmoothing in Graph Neural Networks
Node features of graph neural networks (GNNs) tend to become more simila...
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02/07/2023
Multi-Scale Message Passing Neural PDE Solvers
We propose a novel multi-scale message passing neural network algorithm ...
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10/02/2022
Gradient Gating for Deep Multi-Rate Learning on Graphs
We present Gradient Gating (G^2), a novel framework for improving the pe...
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02/04/2022
Graph-Coupled Oscillator Networks
We propose Graph-Coupled Oscillator Networks (GraphCON), a novel framewo...
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03/09/2021
UnICORNN: A recurrent model for learning very long time dependencies
The design of recurrent neural networks (RNNs) to accurately process seq...
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10/02/2020
Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies
Circuits of biological neurons, such as in the functional parts of the b...
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05/26/2020