tsinghua-fib-lab / GPDLinks
The official implementation of the ICLR 24 submission entitled "Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation".
☆59Updated last year
Alternatives and similar repositories for GPD
Users that are interested in GPD are comparing it to the libraries listed below
Sorting:
- [ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"☆90Updated last year
- A diffusion-based framework for spatio-temporal point processes☆75Updated last year
- Official Code of TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts☆64Updated last year
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆70Updated last year
- "OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction"☆130Updated last year
- ☆91Updated 2 years ago
- [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective☆78Updated 3 weeks ago
- [NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"☆86Updated last year
- The official implementation of ChatTraffic.☆51Updated 11 months ago
- ☆17Updated last year
- [WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"☆67Updated 2 years ago
- Codes for "Retrieval-Augmented Diffusion Models for Time Series Forecasting"☆78Updated last year
- ☆28Updated 3 months ago
- [ICDE'2022] "Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction"☆40Updated 3 years ago
- Spatial-Temporal Graph ODE Neural Network☆123Updated 3 years ago
- ☆22Updated 3 years ago
- [IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting☆244Updated this week
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆136Updated 2 years ago
- The official implementation of the manuscript Learning the complexity of urban mobility with deep generative collaboration network.☆16Updated last year
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆213Updated last month
- Code for CIKM'23 "Cross-city Few-shot Traffic Forecasting via Traffic Pattern Bank"☆21Updated 2 years ago
- ☆44Updated 2 months ago
- [ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"☆57Updated last year
- Code for DiffSTG☆81Updated last year
- When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)☆44Updated 3 years ago
- Official implementation of "Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion"(SIGSPATIAL'23)☆26Updated last year
- PyTorch implementation of AirFormer, AAAI-23☆152Updated 2 years ago
- ☆14Updated 4 years ago
- ☆49Updated 3 years ago
- [Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting☆91Updated 3 months ago