WeizhuQIAN / DeepSTUQ_PytorchLinks
☆10Updated last year
Alternatives and similar repositories for DeepSTUQ_Pytorch
Users that are interested in DeepSTUQ_Pytorch are comparing it to the libraries listed below
Sorting:
- Source code of implementing spatial-temporal zero-inflated negative binomial network for trip demand prediction☆25Updated 3 years ago
- Spatial-Temporal Graph ODE Neural Network☆113Updated 3 years ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆122Updated last year
- Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 202…☆58Updated 2 years ago
- [AAAI'22] Event-Aware Multimodal Mobility Nowcasting☆14Updated 2 years ago
- [CIKM 2022] Source codes of CIKM2022 Full Paper "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Tra…☆47Updated 2 years ago
- Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)☆167Updated 3 years ago
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆70Updated last year
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆83Updated 2 years ago
- ☆44Updated 2 years ago
- PyTorch implementation of CaST, NeurIPS-23.☆34Updated last month
- ☆19Updated 3 years ago
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆186Updated last year
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆177Updated 2 years ago
- WWW23-Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster☆17Updated 2 years ago
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆96Updated 3 months ago
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆182Updated 7 months ago
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆68Updated 2 months ago
- "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022☆156Updated 10 months ago
- My personal PyTorch framework for multivariate time series forecasting.☆94Updated 4 months ago
- ☆49Updated 3 years ago
- Code for DiffSTG☆72Updated last year
- few-shot models for short-term traffic prediction☆17Updated 2 years ago
- ☆85Updated last year
- ☆73Updated 2 years ago
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆26Updated 2 years ago
- Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction☆47Updated 2 years ago
- ☆66Updated 3 years ago
- LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023)☆215Updated last year
- [Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction