JKZuo / CTRNextLinks
A Collaborative Trajectory Representation model (CTRNext) to enhance the next POI recommendation
☆24Updated 6 months ago
Alternatives and similar repositories for CTRNext
Users that are interested in CTRNext are comparing it to the libraries listed below
Sorting:
- Diff-DGMN: A Diffusion-based Dual Graph Multi-attention Network for POI Recommendation☆147Updated 6 months ago
- A curated list/survey of/on Deep learning for Travel-Time-Estimation (TTE) & Estimated Time of Arrival (ETA)☆101Updated 6 months ago
- ☆26Updated 2 years ago
- [ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"☆77Updated 9 months ago
- [Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction☆35Updated last week
- Code for ECMLPKDD'23 "FDTI: Fine-grained Deep Traffic Inference with Roadnet-enriched Graph"☆12Updated last year
- An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting☆25Updated last month
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆117Updated last year
- [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.☆245Updated last year
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆179Updated 5 months ago
- Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.☆128Updated 11 months ago
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆169Updated 2 years ago
- The repo is the official implementation for the paper: [MGCN: Mamba-Integrated Spatiotemporal Graph Convolutional Network for Long-Term T…☆14Updated 2 months ago
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆178Updated last year
- Official implementation of the paper "Spatial-Temporal Large Language Model for Traffic Prediction"☆88Updated this week
- [IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting☆210Updated last week
- The data of paper "Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction".☆31Updated last year
- ☆21Updated 7 months ago
- Paper Collection of Trajectory Data Mining☆11Updated 3 months ago
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆69Updated 10 months ago
- LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023)☆206Updated last year
- ☆22Updated last year
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆92Updated 2 months ago
- PyTorch implementation of CaST, NeurIPS-23.☆34Updated this week
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆63Updated 3 weeks ago
- Code for CIKM'23 "Cross-city Few-shot Traffic Forecasting via Traffic Pattern Bank"☆20Updated last year
- ☆76Updated last year
- Code of H-STFormer with PyTorch2.0.☆10Updated last year
- This is the official code release of the following paper: Yicheng Zhou et al., Make Graph Neural Networks Great Again: A Generic Integrat…☆11Updated 9 months ago
- [Neural Networks] PDG2Seq: Periodic Dynamic Graph to Sequence model for Traffic Flow Prediction☆14Updated last week