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Dai Shi

When Graph Neural Networks Meet Dynamic Mode Decomposition

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Oct 08, 2024
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Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning

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Oct 08, 2024
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A Riemannian Approach to Ground Metric Learning for Optimal Transport

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Sep 16, 2024
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Machine Learning-Based Prediction of Key Genes Correlated to the Subretinal Lesion Severity in a Mouse Model of Age-Related Macular Degeneration

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Sep 08, 2024
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Unleash Graph Neural Networks from Heavy Tuning

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May 21, 2024
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Design Your Own Universe: A Physics-Informed Agnostic Method for Enhancing Graph Neural Networks

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Feb 05, 2024
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SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting

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Jan 23, 2024
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TransNeXt: Robust Foveal Visual Perception for Vision Transformers

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Nov 28, 2023
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Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges

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Nov 17, 2023
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From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond

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Oct 29, 2023
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