BME-SmartLab / GraphConvWat
GitHub repository for "Reconstructing partially observed nodal pressure with graph neural networks in waterdistribution systems" paper
☆12Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for GraphConvWat
- Graph neural networks for state estimation in water distribution systems☆29Updated 3 years ago
- Battle of the Leakage Detection and Isolation Methods (BattLeDIM 2020)☆13Updated 2 years ago
- ☆15Updated 5 years ago
- code for HiSTGNN: Hierarchical Graph Neural Networks for Weather Forecasting, Information Sciences☆10Updated last year
- Meta Transfer Learning for Lake Temperature Prediction☆19Updated 3 years ago
- Code repository for paper "Rapid Spatio-Temporal Flood Modelling via Hydraulics-Based Graph Neural Networks"☆35Updated 8 months ago
- Using an integrated pinball-loss objective function in various recurrent based deep learning architectures made with keras to simultaneou…☆29Updated last year
- Discovering dynamic patterns from spatiotemporal data with time-varying low-rank autoregression. (IEEE TKDE'24)☆18Updated this week
- ☆10Updated last year
- Paper code for "Adapting a deep convolutional RNN model with imbalanced regression loss for improved spatio-temporal forecasting of extre…☆12Updated 2 months ago
- Interpretive deep learning for identifying flooding mechanisms☆16Updated 4 months ago
- Uncertainty Quantification for Deep Spatiotemporal Forecasting☆21Updated 2 months ago
- Large-scale pretraining and benchmarking for short-term load forecasting.☆58Updated this week
- Bayesian Graph Neural Networks☆10Updated 3 years ago
- PyTorch implementation of probabilistic deep forecast applied to air quality.☆24Updated 2 years ago
- We present PSML, a first-of-its-kind open-access multi-scale time-series dataset, to aid in the development of data-driven machine learni…☆56Updated last year
- RiccardoSpolaor / Verbal-Explanations-of-Spatio-Temporal-Graph-Neural-Networks-for-Traffic-ForecastingAn eXplainable AI system to elucidate short-term speed forecasts in traffic networks obtained by Spatio-Temporal Graph Neural Networks.☆11Updated 8 months ago
- A high-level interface designed for the easy generation of hydraulic and water quality scenario data.☆18Updated this week
- ☆11Updated last year
- Repo related to our AAAI 2021 paper "A spatio-temporal LSTM model to forecast across multiple temporal and spatial scales"☆30Updated last year
- Accompanying scripts and models for paper "Transfer learning strategies for solar power1 forecasting under data scarcity"☆14Updated 2 years ago
- A physics-constrained stochastic sky video prediction model for probabilistic short-term solar forecasting☆25Updated 6 months ago
- Creating an Adjacency Matrix Using the Dijkstra Algorithm for Graph Convolutional Networks GCNs☆18Updated 7 months ago
- SATCN for Kriging☆14Updated 2 years ago
- Quantifying Uncertainty in Deep Spatiotemporal Forecasting☆12Updated 3 years ago
- Code associated with the NeurIPS 2020 Climate Change workshop proposal paper "Graph Neural Networks for Improved El Niño Forecasting"☆33Updated 3 years ago
- ☆11Updated 3 months ago
- Github page for: Graph Neural Networks for Multivariate Time Series Regression with Application to Seismic Data☆33Updated 10 months ago
- Pytorch implementation of Spatoi-temporal Differential Equation Network (STDEN).☆34Updated 2 years ago
- Code associated with the paper "The World as a Graph: Improving El Niño Forecasting with Graph Neural Networks".☆32Updated last year