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[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)
Created
2023-06-19
17 commits to main branch, last one 4 months ago
A comprehesive survey about foundation models for weather and cliamte data understanding.
climate
dataset
weather
ai4earth
ai4science
largemodel
deep-learning
climate-change
machine-learning
foundation-models
weather-forecating
weather-forecsating
time-series-analysis
large-language-models
spatial-temporal-data
representation-learning
self-supervised-learning
semi-supervised-learning
spatial-temporal-forecasting
weather-and-climate-understanding
Created
2023-11-13
41 commits to main branch, last one 11 days ago
PyMove is a Python library to simplify queries and visualization of trajectories and other spatial-temporal data
Created
2018-09-10
1,213 commits to master branch, last one 2 years ago
[TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
Created
2022-06-30
4 commits to main branch, last one 2 years ago
codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction
Created
2020-06-07
8 commits to master branch, last one 2 years ago
A diffusion-based framework for spatio-temporal point processes
Created
2023-02-02
79 commits to main branch, last one 9 months ago