cloud-based, large-scale ST-GCN with OpenStreetMap features
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Updated
Jan 18, 2021 - Jupyter Notebook
cloud-based, large-scale ST-GCN with OpenStreetMap features
Predicting insecticide use across Canada
This project demonstrated multiple spatial-temporal models to predict PM2.5 in Beijing based on the air quality data and meteorology data from 2017-01-31 to 2018-01-31 of several monitoring stations in Beijing.
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ML on spatial-temporal data to predict wind speeds of satellite storm images --> InceptionV4 (2D CNN) on last frame & I3D (3D CNN) on optical flows of preceding 4 frames
A web-based tool that predicts crimes based on heterogeneous spatial patterns
a novel transformer-based architecture named CSTTN for traffic prediction
Pytorch implementation of Spatio-temporal Differential Equation Network (STDEN).
A unified Spatial Temporal Net Trainer for different baselines in Spatial Temporal Forecasting problems.
Using a hybrid spatial-temporal deep learning approach to forecast subseasonal weather across 514 Western USA geographical regions
The code of paper "Spatial-Temporal Attention Network for Crime Prediction with Adaptive Graph Learning"
An implementation of LaneGCN (Learning Lane Graph Representations for Motion Forecasting)
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction
Source codes of CIKM2022 Full Paper "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities"
A diffusion-based framework for spatio-temporal point processes
[TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
Source code for 'Dual Attention Based FL for Wireless Traffic Prediction'
Codes for AAAI 2019 DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis
TianChi AIEarth Contest Solution
A comprehesive survey about foundation models for weather and cliamte data understanding.
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