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TG-PhyNN: An Enhanced Physically-Aware Graph Neural Network framework
  for forecasting Spatio-Temporal Data

TG-PhyNN: An Enhanced Physically-Aware Graph Neural Network framework for forecasting Spatio-Temporal Data

29 August 2024
Zakaria Elabid
Lena Sasal
Daniel Busby
Abdenour Hadid
    AI4CE
ArXivPDFHTML

Papers citing "TG-PhyNN: An Enhanced Physically-Aware Graph Neural Network framework for forecasting Spatio-Temporal Data"

4 / 4 papers shown
Title
Physics-Informed Graph Neural Network for Spatial-temporal Production
  Forecasting
Physics-Informed Graph Neural Network for Spatial-temporal Production Forecasting
Wendi Liu
Michael J. Pyrcz
AI4CE
16
20
0
23 Sep 2022
W-Transformers : A Wavelet-based Transformer Framework for Univariate
  Time Series Forecasting
W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting
Zakaria Elabid
Tanujit Chakraborty
Abdenour Hadid
AI4TS
27
20
0
08 Sep 2022
Fourier Neural Operator for Parametric Partial Differential Equations
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
203
2,254
0
18 Oct 2020
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
231
3,202
0
24 Nov 2016
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