beginner-sketch / GMRL
☆11Updated last year
Alternatives and similar repositories for GMRL:
Users that are interested in GMRL are comparing it to the libraries listed below
- ☆21Updated last year
- Source code of KDD'22 paper: Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting☆28Updated last year
- ☆15Updated last year
- ☆44Updated 2 years ago
- Investigating the benefit of relating river gauging stations via graph neural networks for flood forecasting☆12Updated 6 months ago
- This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"☆35Updated last year
- SPGCL: Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning☆14Updated last year
- This is an implementation of a traffic speed predicition model.☆10Updated 2 years ago
- ☆64Updated 3 years ago
- ☆25Updated 2 years ago
- Display of data sets and core code in STCGCN☆20Updated 2 years ago
- A Multi-graph Multi-head Adaptive Temporal Graph Convolutional Network☆9Updated last year
- ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks☆24Updated 7 months ago
- ☆13Updated last year
- [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation☆21Updated last year
- PyTorch implementation for paper "WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series" (A…☆42Updated last year
- ☆24Updated last year
- AGC-Net (Adaptive Graph Convolution Networks) is an advanced model designed to predict traffic flow. Dataset: METR-LA, PEMS-BAY☆11Updated last year
- a multivariate time series deep spatiotemporal forecasting model with graph neural network (MDST-GNN) is proposed to solve the existing …☆32Updated 2 years ago
- The official implementation of SDGL☆30Updated 5 months ago
- ☆36Updated 6 months ago
- [TKDE 2024] Official Code of the paper "Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series For…☆26Updated 6 months ago
- ☆20Updated 8 months ago
- Papers on Spatial-Temporal Graph Neural Networks☆26Updated 2 years ago
- [KDD 2021] Official Code of the paper "ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting"☆57Updated 7 months ago
- KDD'23 --- Graph Neural Processes for Spatio-Temporal Extrapolation☆32Updated last year
- Pytorch implementation of Spatoi-temporal Differential Equation Network (STDEN).☆36Updated 2 years ago
- Community Implementation of *Temporal Latent Auto-Encoder* as described in [Temporal Latent Auto-Encoder: A Method for Probabilistic Mult…☆15Updated 2 years ago
- ICDE'24 "Time-aware Graph Structure Learning for Spatiao-temporal Forecasting"☆13Updated 7 months ago
- A pytorch re-implementation of STFGNN☆25Updated last year