BME-SmartLab / GraphConvWatLinks
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
Sorting:
- Graph neural networks for state estimation in water distribution systems☆31Updated 3 years ago
- Battle of the Leakage Detection and Isolation Methods (BattLeDIM 2020)☆17Updated 2 years ago
- A GNN-based surrogate model of urban drainage networks.☆18Updated 3 weeks ago
- Code repository for paper "Multi-scale hydraulic graph neural networks for flood modelling"☆16Updated 4 months ago
- GNNs to predict wind farm-wide power, local flow variables and damage-equivalent loads.☆17Updated 6 months ago
- PyTorch implementation of probabilistic deep forecast applied to air quality.☆25Updated 3 years ago
- LeakDB (Leakage Diagnosis Benchmark) is a realistic leakage dataset for water distribution networks. The dataset is comprised of a large …☆54Updated 7 months ago
- ☆10Updated 2 years ago
- A Python package designed for the easy generation of hydraulic and water quality scenario data of water distribution networks.☆31Updated last week
- Uncertainty Quantification for Deep Spatiotemporal Forecasting☆22Updated 9 months ago
- Meta Transfer Learning for Lake Temperature Prediction☆21Updated 4 years ago
- Using an integrated pinball-loss objective function in various recurrent based deep learning architectures made with keras to simultaneou…☆37Updated 2 years ago
- Large-scale pretraining and benchmarking for short-term load forecasting.☆70Updated 5 months ago
- ☆11Updated 2 years ago
- Feasibility study on using mixed-integer-linear programming for solving optimal pump scheduling problem in water distribution networks.☆13Updated 10 months ago
- ☆15Updated 5 years ago
- Accompanying scripts and models for paper "Transfer learning strategies for solar power1 forecasting under data scarcity"☆18Updated 3 years ago
- Series of articles covering probabilistic approaches to deep learning.☆10Updated 2 years ago
- Discovering dynamic patterns from spatiotemporal data with time-varying low-rank autoregression. (IEEE TKDE'24)☆20Updated 5 months ago
- Enhancing Urban Resilience: Traffic Flow Prediction with a Field Theory-Inspired Physics-Informed Graph Neural Network☆13Updated 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.☆19Updated last year
- Implementation of generative models to compute scenario of renewable generation and consumption.☆65Updated 3 years ago
- ☆19Updated 7 months ago
- ☆18Updated 3 months ago
- Graph Neural Network-Based Anomaly Detection☆30Updated last year
- ☆119Updated last year
- Code for the TMLR 2023 paper "GRAM-ODE: Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting"☆16Updated last year
- Physics-incorporated Graph Neural Network Using Dynamic Higher-Order Spatio-temporal Graphs for Multivariate Time Series Imputation☆14Updated 10 months ago
- Mixed-Integer Linear Programming framework for water distribution system optimization☆22Updated last year
- add codes☆18Updated 3 years ago