QiweiMa-LL / STAGCNLinks
A novel spatio-temporal adaptive graph convolutional network model (STAGCN) based on deep learning
☆21Updated 3 years ago
Alternatives and similar repositories for STAGCN
Users that are interested in STAGCN are comparing it to the libraries listed below
Sorting:
- Code for the paper "Multivariate Time Series Prediction of Complex Systems Based on Graph Neural Networks with Location Embedding Graph S…☆24Updated 2 years ago
- [TITS2025] Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction☆29Updated 2 months ago
- ☆123Updated last year
- a multivariate time series deep spatiotemporal forecasting model with graph neural network (MDST-GNN) is proposed to solve the existing …☆32Updated 3 years ago
- The official implementation of SDGL☆35Updated last year
- ☆27Updated 2 years ago
- ☆37Updated last year
- Display of data sets and core code in STCGCN☆28Updated 3 years ago
- ☆44Updated 3 years ago
- AGC-Net (Adaptive Graph Convolution Networks) is an advanced model designed to predict traffic flow. Dataset: METR-LA, PEMS-BAY☆11Updated 2 years ago
- ☆105Updated 11 months ago
- Using Spectral Temporal Graph Neural Network model for the major assignment of Time Series Analysis and Forecasting course, with multivar…☆10Updated 2 years ago
- Fault Diagnosis of Wheeled Robot Based on Prior Knowledge and Spatial-temporal difference graph convolutional network☆40Updated 2 years ago
- Code of “Dynamic Graph Convolutional Network with Attention Fusion for Traffic Flow Prediction”.☆21Updated last year
- The pytorch implementation of ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Ro…☆42Updated 4 years ago
- Pytorch implementation of various traffic prediction modules(FC-LSTM, GRU, GCN, Diffusion Conv, Temporal Attention, etc.)☆11Updated last year
- ☆40Updated 2 years ago
- Early access articles, Journals, and Conferences☆27Updated 4 years ago
- This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"☆40Updated 2 years ago
- SPGCL: Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning☆14Updated 2 years ago
- SSGC: Synergistic Similarity Graph Construction for Steel Plate Fault Diagnosis with Graph Attention Networks☆21Updated 11 months ago
- ☆15Updated 2 years ago
- Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction☆48Updated 2 years ago
- [Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting☆89Updated 2 months ago
- The code for Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values.☆30Updated last year
- Graph Convolutional Adversarial Networks for Spatio-Temporal Anomaly Detection☆29Updated 3 years ago
- code of DeepGWC: A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification☆18Updated 2 years ago
- ☆44Updated 3 years ago
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆67Updated last year
- This is a PyTorch implementation of STGAGRTN in the Spatial-Temporal Graph Attention Gated Recurrent Transformer Network for Traffic Flow…☆20Updated last year