kethmih / AirPhyNet
Pytorch implementation of Physics Guided Differential Equation Network for Air Quality Prediction (AirPhyNet).
☆21Updated last year
Alternatives and similar repositories for AirPhyNet:
Users that are interested in AirPhyNet are comparing it to the libraries listed below
- PyTorch implementation of AirFormer, AAAI-23☆131Updated 2 years ago
- Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach (TITS)☆17Updated 4 months ago
- Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 202…☆55Updated last year
- ☆24Updated last year
- Pytorch implementation of Spatoi-temporal Differential Equation Network (STDEN).☆38Updated 2 years ago
- The code for Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values.☆24Updated 7 months ago
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆84Updated 2 weeks ago
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆47Updated 6 months ago
- ☆8Updated 6 months ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆112Updated last year
- ☆23Updated 3 months ago
- Code for DiffSTG☆66Updated last year
- PyTorch implementation for paper "WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series" (A…☆42Updated 2 years ago
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆81Updated 2 years ago
- [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective☆34Updated 3 months ago
- My personal PyTorch framework for multivariate time series forecasting.☆87Updated last month
- [KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"☆40Updated 2 weeks ago
- [TKDE 2024] Official Code of the paper "Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series For…☆27Updated 8 months ago
- Code of “Dynamic Graph Convolutional Network with Attention Fusion for Traffic Flow Prediction”.☆16Updated 11 months ago
- [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation☆24Updated last year
- ☆81Updated last year
- ICLR'2024 (Spotlight)☆18Updated 9 months ago
- ☆47Updated 2 years ago
- An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting☆22Updated 11 months ago
- [IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting☆179Updated this week
- [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis☆87Updated 7 months ago
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆66Updated 8 months ago
- ☆11Updated 6 months ago
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆169Updated last year
- Investigating the benefit of relating river gauging stations via graph neural networks for flood forecasting☆14Updated this week