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03/20/2023
Graph Neural Rough Differential Equations for Traffic Forecasting
Traffic forecasting is one of the most popular spatio-temporal tasks in ...
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11/25/2022
GREAD: Graph Neural Reaction-Diffusion Equations
Graph neural networks (GNNs) are one of the most popular research topics...
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11/22/2022
Time Series Forecasting with Hypernetworks Generating Parameters in Advance
Forecasting future outcomes from recent time series data is not easy, es...
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11/17/2022
Perturbation-Recovery Method for Recommendation
Collaborative filtering is one of the most influential recommender syste...
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08/30/2022
Prediction-based One-shot Dynamic Parking Pricing
Many U.S. metropolitan cities are notorious for their severe shortage of...
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12/07/2021
Graph Neural Controlled Differential Equations for Traffic Forecasting
Traffic forecasting is one of the most popular spatio-temporal tasks in ...
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11/14/2021
Linear, or Non-Linear, That is the Question!
There were fierce debates on whether the non-linear embedding propagatio...
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11/11/2021
Climate Modeling with Neural Diffusion Equations
Owing to the remarkable development of deep learning technology, there h...
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08/08/2021