nkirschi / Neural-Flood-ForecastingLinks
Investigating the benefit of relating river gauging stations via graph neural networks for flood forecasting
☆14Updated 5 months ago
Alternatives and similar repositories for Neural-Flood-Forecasting
Users that are interested in Neural-Flood-Forecasting are comparing it to the libraries listed below
Sorting:
- ☆15Updated 2 years ago
- MSTGAN is an innovative method designed for multi-station urban air quality prediction, which fully considers the individual, global, and…☆18Updated last year
- code for HiSTGNN: Hierarchical Graph Neural Networks for Weather Forecasting, Information Sciences☆15Updated 2 years ago
- Time Series Forecasting with Dynamic Graph Modeling☆14Updated 2 weeks ago
- ☆24Updated last year
- KDD 2025: 📄"Predicting the Dynamics of Complex Systems via Multiscale Diffusion Autoencoder"☆16Updated 3 months ago
- Quantifying Uncertainty in Deep Spatiotemporal Forecasting☆12Updated 4 years ago
- This is an implementation of a traffic speed predicition model.☆10Updated 2 years ago
- MFWPN☆23Updated this week
- ☆26Updated 2 weeks ago
- add codes☆19Updated 4 years ago
- The main code of our proposed multi-resolution interactive transformer☆11Updated 4 months ago
- Pytorch implementation of Physics Guided Differential Equation Network for Air Quality Prediction (AirPhyNet).☆31Updated last year
- ☆14Updated 6 months ago
- [ICLR 2024 Spotlight]☆21Updated last year
- ☆15Updated 2 years ago
- [TITS2025] Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction☆26Updated 2 weeks ago
- [IJCAI 2024] This it the official github for IJCAI24 paper "Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning"☆14Updated 11 months ago
- HiGRN: A Hierarchical Graph Recurrent Network for Global Sea Surface Temperature Prediction☆11Updated last year
- The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement☆32Updated last year
- ☆11Updated last year
- Neural Manifold Operators (KDD 2024)☆23Updated 9 months ago
- Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach (TITS)☆20Updated 9 months ago
- Code release of paper "FAITH: Frequency-domain Attention In Two Horizons for Long-term time series forecasting"☆17Updated 2 months ago
- This folder contains spatiotemporal prediction models implemented in combination with Informer and GAT.☆18Updated 4 months ago
- [ICDE'2024] Temporal-Frequency Masked Autoencoders for Time Series Anomaly Detection☆27Updated last year
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆62Updated last year
- ☆11Updated 5 months ago
- Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series☆46Updated last month
- This folder contains some of the data sets commonly used in the field of multivariate time series forecasting.☆10Updated 2 years ago