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forecasting

TransGlow: Attention-augmented Transduction model based on Graph Neural Networks for Water Flow Forecasting

Charalambos (Charis) Poullis

TransGlow: Attention-augmented Transduction model based on Graph Neural Networks for Water Flow Forecasting

Our paper TransGlow: Attention-augmented Transduction model based on Graph Neural Networks for Water Flow Forecasting has been published as a conference paper at the International Conference on Machine Learning and Applications (ICMLA), 2023. The work is co-authored by Naghmeh Shafiee Roudbari, Charalambos Poullis, Zachary Patterson, and Ursula Eicker.

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