tufts-ml / kcn-torchLinks
☆25Updated last year
Alternatives and similar repositories for kcn-torch
Users that are interested in kcn-torch are comparing it to the libraries listed below
Sorting:
- Kriging Convolutional Networks (KCN) in Tensoflow☆44Updated last year
- ☆52Updated 2 years ago
- ☆119Updated last year
- SATCN for Kriging☆15Updated 2 years ago
- Demo code for the paper -- Spatial interpolation using conditional generative adversarial neural networks☆62Updated 4 years ago
- Laplacian convolutional representation for traffic time series imputation. (IEEE TKDE'24)☆18Updated 7 months ago
- Enhancing Urban Resilience: Traffic Flow Prediction with a Field Theory-Inspired Physics-Informed Graph Neural Network☆13Updated 8 months ago
- ☆42Updated last year
- KDD'23 --- Graph Neural Processes for Spatio-Temporal Extrapolation☆35Updated 2 years ago
- A spatiotemporal causal convolutional network for predicting PM2.5 concentrations.☆66Updated 2 years ago
- CirT: Global Subseaonal-To-Seasonal Forecasting with Geometry-inspired Transformer☆12Updated 3 months ago
- ClimODE: Climate and Weather Forecasting With Physics-informed Neural ODEs☆95Updated 2 months ago
- About code release of "Interpretable Weather Forecasting for Worldwide Stations with a Unified Deep Model", Nature Machine Intelligence, …☆176Updated 5 months ago
- ☆15Updated 5 years ago
- A diffusion-based framework for spatio-temporal point processes☆72Updated last year
- Code repository for paper "Rapid Spatio-Temporal Flood Modelling via Hydraulics-Based Graph Neural Networks"☆44Updated last year
- ☆14Updated 2 months ago
- Pytorch Implementation of the Paper: Self-Attention ConvLSTM for Spatiotemporal Prediction☆21Updated 7 months ago
- Pytorch implementation of Physics Guided Differential Equation Network for Air Quality Prediction (AirPhyNet).☆28Updated last year
- A GNN-RNN approach for harnessing geospatial and temporal information: application to crop yield prediction☆23Updated 5 months ago
- Source code for paper "Learning spatiotemporal dynamics with a pretrained generative model" in Nature Machine Intelligence☆35Updated last month
- Discovering dynamic patterns from spatiotemporal data with time-varying low-rank autoregression. (IEEE TKDE'24)☆20Updated 5 months ago
- Latent diffusion for generative precipitation nowcasting☆127Updated last year
- ☆21Updated 7 months ago
- ☆78Updated last year
- A novel GNN-LSTM-based fusion model which could accurately predict the seismic responses of multiple structures with different geometry.☆69Updated last year
- Code for paper ''Link Representation Learning for Probabilistic Travel Time Estimation"☆8Updated last month
- Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach (TITS)☆20Updated 6 months ago
- Pytorch implementation of Spatoi-temporal Differential Equation Network (STDEN).☆38Updated 2 years ago
- code for HiSTGNN: Hierarchical Graph Neural Networks for Weather Forecasting, Information Sciences☆15Updated last year