M-LibCity:基于Mindspore的城市时空预测模型开源算法库
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Updated
Apr 12, 2024 - Python
M-LibCity:基于Mindspore的城市时空预测模型开源算法库
FlexiCrime: A crime prediction model capable of making predictions over flexible time intervals.
Deep Spatio-Temporal Residual Networks for Mobile Location Data Prediction (instead of original Crowd Flow Prediction) - Modified ST-ResNet
Sample code for video-like crowd prediction
M-LibCity: An Open Source Library for Urban Spatio-temporal Prediction Models Based on MindSpore
[CIKM'2024] "EasyST: A Simple Framework for Spatio-Temporal Prediction"
[under review] Official PyTorch Implementation of "Cross-modal Autoregressive Network based on History Aggregation for Trajectory Prediction".
Using recurrent Spatio-Temporal Graph Convolutional Neural Networks to improve ETA predictions of cargo railway transportation.
This repository contains de code and instructions to train the models and prepare the datasets for the experiments in the paper "Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks" accepted at the 2nd ACM CONEXT GNNet 2023 Workshop.
PurpleAirSF: datasets for realistic air quality forecasting
ST-MAN: Spatio-Temporal Multimodal Attention Network for Traffic Prediction (KSEM 2023)
A Multi-graph Multi-head Adaptive Temporal Graph Convolutional Network
Solution for our Neurips 2019 challenge on traffic movie forecasting
Reproduce - Traffic_prediction - StemGNN(NeurIPS20)
[CIKM'2023] "CL4ST: Spatio-Temporal Meta Contrastive Learning"
Implementation of the paper - Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
[IJCNN 2021] Unified Spatio-Temporal modeling for traffic forecasting using Graph Convolutional Network
[ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"
[KDD CUP 2022] 11th place solution of Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022
[ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"
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