juyongjiang / TrendGCNLinks
[CIKM 2023] This is the official source code of "TrendGCN: Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting" based on Pytorch.
☆50Updated 2 years ago
Alternatives and similar repositories for TrendGCN
Users that are interested in TrendGCN are comparing it to the libraries listed below
Sorting:
- ☆49Updated 3 years ago
- When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)☆45Updated 3 years ago
- ☆46Updated 3 years ago
- [ICDE'2022] "Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction"☆40Updated 3 years ago
- Spatial-Temporal Graph ODE Neural Network☆120Updated 3 years ago
- ☆19Updated 3 years ago
- The pytorch implementation of ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Ro…☆42Updated 4 years ago
- ☆19Updated 2 years ago
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆84Updated 6 months ago
- ☆74Updated 3 years ago
- ☆44Updated 3 years ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆133Updated last year
- "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022☆162Updated last year
- The official implementation of SDGL☆36Updated last year
- [WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"☆67Updated 2 years ago
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆88Updated 3 years ago
- ☆68Updated 3 years ago
- [KDD 2021] Official Code of the paper "ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting"☆63Updated last year
- [IJCAI'2022] FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting☆28Updated 2 years ago
- The code of Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction☆14Updated 3 years ago
- ☆11Updated 11 months ago
- ☆40Updated 2 years ago
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆67Updated last year
- HSTGODE code☆10Updated 2 years ago
- [ICDE 2023] Dynamic hypergraph structure learning for traffic flow forecasting☆21Updated 3 years ago
- ☆41Updated 3 years ago
- This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"☆41Updated 2 years ago
- ☆19Updated 3 years ago
- PyTorch implementation of ESG☆92Updated 2 years ago
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆76Updated 4 months ago