YushengZhao / DyHSLLinks
[ICDE 2023] Dynamic hypergraph structure learning for traffic flow forecasting
☆16Updated 2 years ago
Alternatives and similar repositories for DyHSL
Users that are interested in DyHSL are comparing it to the libraries listed below
Sorting:
- [WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"☆65Updated last year
- [Neural Networks] PDG2Seq: Periodic Dynamic Graph to Sequence model for Traffic Flow Prediction☆14Updated 3 weeks ago
- ☆44Updated 2 years ago
- An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting☆25Updated last month
- ☆48Updated 3 years ago
- [NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"☆79Updated last year
- Spatial-Temporal Graph ODE Neural Network☆113Updated 3 years ago
- ☆15Updated last year
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆66Updated last month
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆69Updated 11 months ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆119Updated last year
- ☆19Updated 3 years ago
- ☆26Updated 2 years ago
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆55Updated 9 months ago
- ☆73Updated 2 years ago
- ☆23Updated 2 years ago
- The code of Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction☆14Updated 3 years ago
- [ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"☆79Updated 9 months ago
- [Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction☆36Updated 3 weeks ago
- ☆10Updated 2 years ago
- [SIGSPATIAL 2023] Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation☆22Updated last year
- [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective☆47Updated 6 months ago
- ☆22Updated last year
- ☆22Updated 8 months ago
- When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)☆43Updated 2 years ago
- The pytorch implementation of DisenPOI.☆19Updated last year
- [CIKM'2024] "EasyST: A Simple Framework for Spatio-Temporal Prediction"☆17Updated 9 months ago
- [ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"☆54Updated 6 months ago
- Open-source code of TransGTR.☆12Updated last year
- ☆49Updated 3 years ago