jlidw / SSINLinks
Code for the SIGMOD 2023 paper "SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation".
☆13Updated last year
Alternatives and similar repositories for SSIN
Users that are interested in SSIN are comparing it to the libraries listed below
Sorting:
- Spatial regression graph convolutional neural networks: Spatial regression analysis conducted in the manner of graph convolutional neural…☆55Updated 2 years ago
- Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth (NeurIPS24)☆47Updated this week
- ☆28Updated 9 months ago
- ☆34Updated last year
- The code and documentation for geo-contextual multitask embedding learner☆25Updated 4 years ago
- Urban Region Representation Learning with OpenStreetMap Building Footprints☆26Updated last year
- ☆119Updated 2 years ago
- ☆26Updated 2 weeks ago
- code for paper Multi-View Joint Graph Representation Learning for Urban Region Embedding. (to be updated)☆33Updated 3 years ago
- ☆10Updated last year
- PyTorch implementation of the paper "Positional Encoder Graph Neural Networks for Geographic Data"☆55Updated last year
- code for HiSTGNN: Hierarchical Graph Neural Networks for Weather Forecasting, Information Sciences☆15Updated last year
- Simulating human mobility with a trajectory generation framework based on diffusion model☆23Updated last year
- ☆22Updated last year
- An Awesome Collection of Urban Foundation Models (UFMs).☆172Updated 2 months ago
- Official PyTorch Code for ICLR24 Workshop Paper: PostRainBench☆27Updated last year
- ☆21Updated 7 months ago
- ☆16Updated last year
- Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach (TITS)☆20Updated 6 months ago
- ☆24Updated last year
- (Journal of Hydrology 2025) U-RNN High-resolution spatiotemporal nowcasting of urban flooding☆46Updated 3 weeks ago
- ☆8Updated 8 months ago
- TorchSpatial offers a comprehensive framework and benchmark suite designed to advance Spatial Representation Learning (SRL).☆141Updated last month
- EarthNet Models PyTorch - Deep Neural Networks for geospatial vegetation forecasting.☆33Updated 7 months ago
- A Python package for Earth forecasting transformer☆86Updated 10 months ago
- Official implementation of the paper "Geographic mapping with unsupervised multi-modal representation learning from VHR images and POIs"☆23Updated last year
- A professional list on Multi-modal Data Fusion Models and Key Datasets for Urban Computing.☆143Updated 5 months ago
- Curated papers on survey paper "deep learning and foundation models for weather prediction".☆16Updated 4 months ago
- Data and codes for MetroGAN☆16Updated 5 months ago
- A PyTorch implementation of the Geographically Neural Network Weighted Regression (GNNWR)☆123Updated 3 weeks ago