wtl52656 / MM-STGED
☆12Updated 11 months ago
Alternatives and similar repositories for MM-STGED:
Users that are interested in MM-STGED are comparing it to the libraries listed below
- [ICDE 2023] Dynamic hypergraph structure learning for traffic flow forecasting☆15Updated 2 years ago
- Implementation code for the model Diffusion-based Origin-destination Travel Time Estimation (DOT), proposed in the SIGMOD 2024 paper "Ori…☆17Updated 7 months ago
- ☆19Updated 6 months ago
- An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting☆23Updated last week
- Source code of the proposed method MulT-TTE in the paper "Multi-faceted Route Representation Learning for Travel Time Estimation"☆13Updated last month
- [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective☆36Updated 4 months ago
- ☆10Updated last year
- [Neural Networks] PDG2Seq: Periodic Dynamic Graph to Sequence model for Traffic Flow Prediction☆13Updated last month
- ☆26Updated last year
- [WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"☆65Updated last year
- [SIGSPATIAL 2023] Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation☆22Updated 11 months ago
- ☆19Updated 3 years ago
- When Will We Arrive? A Novel Multi-Task Spatio-Temporal Attention Network Based on Individual Preference for Estimating Travel Time☆38Updated last week
- 本仓库包含:时空数据处理、预测领域的相关论文;相关数据集;专家学者信息☆14Updated 4 years ago
- ☆49Updated 2 years ago
- ☆23Updated 2 years ago
- Paper Collection of Trajectory Data Mining☆10Updated 2 months ago
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆69Updated 9 months ago
- ☆73Updated 2 years ago
- The code of Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction☆14Updated 3 years ago
- ☆21Updated 11 months ago
- [IJCAI'2022] FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting☆26Updated last year
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆62Updated last week
- Spatial-Temporal Graph ODE Neural Network☆109Updated 3 years ago
- Implementation code for the Context and Time-aware Location Embedding (CTLE) model, proposed in the AAAI 2021 paper "Pre-training Context…☆35Updated 7 months ago
- Summary of Spatio-Temporal Representation Learning Models.☆72Updated 2 years ago
- ☆14Updated 3 months ago
- ☆47Updated 2 years ago
- Implementation for MSDR☆25Updated 2 years ago
- Code for paper "Spatio-Temporal Knowledge Transfer for Urban Crowd Flow Prediction via Deep Attentive Adaptation Networks"☆13Updated 3 years ago