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03/02/2022
Personalized Federated Learning With Structure
Knowledge sharing and model personalization are two key components to im...
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11/25/2021
Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting
Recent studies focus on formulating the traffic forecasting as a spatio-...
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07/10/2021
Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic Filtering
Graph convolutional networks are becoming indispensable for deep learnin...
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05/24/2020
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks
Modeling multivariate time series has long been a subject that has attra...
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05/31/2019
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
Spatial-temporal graph modeling is an important task to analyze the spat...
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01/03/2019
