BME-SmartLab / GraphConvWat
GitHub repository for "Reconstructing partially observed nodal pressure with graph neural networks in waterdistribution systems" paper
☆12Updated 3 years ago
Alternatives and similar repositories for GraphConvWat:
Users that are interested in GraphConvWat are comparing it to the libraries listed below
- Graph neural networks for state estimation in water distribution systems☆30Updated 3 years ago
- Battle of the Leakage Detection and Isolation Methods (BattLeDIM 2020)☆16Updated 2 years ago
- PyTorch implementation of probabilistic deep forecast applied to air quality.☆25Updated 3 years ago
- A GNN-based surrogate model of urban drainage networks.☆14Updated 2 months ago
- LeakDB (Leakage Diagnosis Benchmark) is a realistic leakage dataset for water distribution networks. The dataset is comprised of a large …☆50Updated 5 months ago
- A Python package designed for the easy generation of hydraulic and water quality scenario data of water distribution networks.☆27Updated this week
- Code repository for paper "Multi-scale hydraulic graph neural networks for flood modelling"☆13Updated 2 months ago
- Feasibility study on using mixed-integer-linear programming for solving optimal pump scheduling problem in water distribution networks.☆14Updated 7 months ago
- Uncertainty Quantification for Deep Spatiotemporal Forecasting☆21Updated 6 months ago
- ☆15Updated 5 years ago
- ☆10Updated 2 years ago
- Graph Neural Network-Based Anomaly Detection☆28Updated last year
- Multistep Traffic Forecasting by Dynamic Graph Convolution: Interpretations of Real-Time Spatial Correlations☆16Updated 8 months ago
- 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.☆16Updated last year
- GNNs to predict wind farm-wide power, local flow variables and damage-equivalent loads.☆15Updated 4 months ago
- Mixed-Integer Linear Programming framework for water distribution system optimization☆21Updated 11 months ago
- ☆47Updated 2 years ago
- Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)☆46Updated last year
- Github page for: Graph Neural Networks for Multivariate Time Series Regression with Application to Seismic Data☆35Updated last year
- Welcome to the SOLETE platform. These scripts are meant to help you using the homonymous dataset [1] and to replicate the results from th…☆11Updated last year
- Discovering dynamic patterns from spatiotemporal data with time-varying low-rank autoregression. (IEEE TKDE'24)☆19Updated 3 months ago
- Repo related to our AAAI 2021 paper "A spatio-temporal LSTM model to forecast across multiple temporal and spatial scales"☆30Updated 2 years ago
- Using an integrated pinball-loss objective function in various recurrent based deep learning architectures made with keras to simultaneou…☆33Updated 2 years ago
- Code for paper "Continuous and Distribution-free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach" https:…☆20Updated last month
- Meta Transfer Learning for Lake Temperature Prediction☆21Updated 3 years ago
- KDD'23 --- Graph Neural Processes for Spatio-Temporal Extrapolation☆34Updated last year
- Valid and adaptive prediction intervals for probabilistic time series forecasting.☆90Updated last week
- Accompanying scripts and models for paper "Transfer learning strategies for solar power1 forecasting under data scarcity"☆16Updated 2 years ago
- Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"☆19Updated 2 years ago
- Code for our paper "Temporal Graph Neural Networks for Irregular Data"☆18Updated last year