BME-SmartLab / GraphConvWatLinks
GitHub repository for "Reconstructing partially observed nodal pressure with graph neural networks in waterdistribution systems" paper
☆15Updated 3 years ago
Alternatives and similar repositories for GraphConvWat
Users that are interested in GraphConvWat are comparing it to the libraries listed below
Sorting:
- Graph neural networks for state estimation in water distribution systems☆37Updated 4 years ago
- Battle of the Leakage Detection and Isolation Methods (BattLeDIM 2020)☆22Updated 3 years ago
- A hydraulic surrogate model and real-time control methods of urban drainage networks.☆32Updated last week
- Uncertainty Quantification for Deep Spatiotemporal Forecasting☆24Updated last year
- Code accompanying our NeurIPS 2022 traffic4cast challenge☆82Updated 2 years ago
- Discovering dynamic patterns from spatiotemporal data with time-varying low-rank autoregression. (IEEE TKDE'24)☆22Updated 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.☆24Updated last year
- Code repository for paper "Multi-scale hydraulic graph neural networks for flood modelling"☆18Updated 2 months ago
- Ensemble wavelet based neural network for generating epidemiological forecasting (epicasting)☆15Updated 3 months ago
- ☆125Updated 2 years ago
- PyTorch implementation of probabilistic deep forecast applied to air quality.☆27Updated 4 years ago
- tsl: a PyTorch library for processing spatiotemporal data.☆363Updated 2 months ago
- Code for our paper "Temporal Graph Neural Networks for Irregular Data"☆21Updated 2 months ago
- ☆15Updated 6 years ago
- Valid and adaptive prediction intervals for probabilistic time series forecasting.☆101Updated 9 months ago
- Using an integrated pinball-loss objective function in various recurrent based deep learning architectures made with keras to simultaneou…☆42Updated 3 years ago
- Graph Neural Network☆76Updated last year
- KDD'23 --- Graph Neural Processes for Spatio-Temporal Extrapolation☆37Updated 2 years ago
- ☆11Updated 2 years ago
- Meta Transfer Learning for Lake Temperature Prediction☆22Updated 4 years ago
- Graph Neural Network-Based Anomaly Detection☆31Updated last year
- A package to compute the Continuous Ranked Probability Score (crps) (Matheson and Winkler, 1976; Hersbach, 2000), the fair-crps (fcrps) (…☆21Updated 3 years ago
- GNNs to predict wind farm-wide power, local flow variables and damage-equivalent loads.☆21Updated 5 months ago
- Physics-guided Neural Networks (PGNN) : An Application In Lake Temperature Modelling☆113Updated 4 years ago
- Code for the TMLR 2023 paper "GRAM-ODE: Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting"☆20Updated last year
- Public tutorials of using Flow Forecast for forecasting and classifying time series data☆48Updated last year
- Github page for: Graph Neural Networks for Multivariate Time Series Regression with Application to Seismic Data☆38Updated 2 years ago
- Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"☆23Updated 3 years ago
- Package implementing Convergent Cross Mapping for causality inference in dynamical systems☆52Updated 2 years ago
- Accompanying scripts and models for paper "Transfer learning strategies for solar power1 forecasting under data scarcity"☆19Updated 3 years ago