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cs.LG2024
Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering
Jingwei Guo, Kaizhu Huang, Xinping Yi +2
Whilst spectral Graph Neural Networks (GNNs) are theoretically well-founded in the spectral domain, their practical reliance on polynomial approximation implies a profound linkage…
cs.LG2020★ 24 cited
Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction
Penglei Gao, Xi Yang, Rui Zhang +1
We propose a continuous neural network architecture, termed Explainable Tensorized Neural Ordinary Differential Equations (ETN-ODE), for multi-step time series prediction at arbitr…