JLDeng / SCNN
[TKDE 2024] Official Code of the paper "Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting"
☆27Updated 9 months ago
Alternatives and similar repositories for SCNN:
Users that are interested in SCNN are comparing it to the libraries listed below
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆50Updated 8 months ago
- When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)☆42Updated 2 years ago
- [KDD 2021] Official Code of the paper "ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting"☆57Updated 10 months ago
- ☆44Updated 2 years ago
- ☆47Updated 2 years ago
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆89Updated last month
- PyTorch implementaion of Spatial-Temporal Sequence to Sequence model.☆15Updated 4 years ago
- ☆10Updated last year
- ☆13Updated 5 months ago
- [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective☆36Updated 4 months ago
- ☆44Updated 2 years ago
- This is the official code release of the following paper: Yicheng Zhou et al., Make Graph Neural Networks Great Again: A Generic Integrat…☆11Updated 8 months ago
- The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement☆31Updated last year
- ☆25Updated 2 years ago
- [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation☆24Updated last year
- Spatial-Temporal Graph ODE Neural Network☆109Updated 3 years ago
- ☆28Updated 10 months ago
- The PyTorch implementation of the paper "AutoCTS: Automated Correlated Time Series Forecasting".☆19Updated 3 years ago
- ☆49Updated 2 years ago
- The code for Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values.☆25Updated 8 months ago
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆69Updated 9 months ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆115Updated last year
- ☆15Updated last year
- This is an implementation of a traffic speed predicition model.☆10Updated 2 years ago
- An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting☆23Updated last week
- This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"☆36Updated 2 years ago
- My personal PyTorch framework for multivariate time series forecasting.☆90Updated 2 months ago
- ☆19Updated 2 years ago
- SPGCL: Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning☆14Updated 2 years ago
- ☆26Updated last year