DILab-USTCSZ / CMuSTLinks
[NeurIPS 2024 Oral] Repository of the CMuST paper: "Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework"
☆13Updated 3 months ago
Alternatives and similar repositories for CMuST
Users that are interested in CMuST are comparing it to the libraries listed below
Sorting:
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆55Updated 9 months ago
- [ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"☆79Updated 9 months ago
- The appendix and core code of model CauSTG, for accepted paper in KDD 2023.☆10Updated 2 years ago
- PyTorch Implementation of "TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting" (ICML 2025)☆38Updated last month
- The official implementation of the ICLR 24 submission entitled "Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation…☆55Updated last year
- [ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"☆54Updated 6 months ago
- A Comprehensive Benchmark of Imbalanced Graph Learning (Accepted by ICLR 2025 Spotlight)☆9Updated 2 months ago
- Official Code of TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts☆52Updated 10 months ago
- ☆29Updated last year
- Official implementation of our ICML 2024 paper "UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework…☆31Updated last month
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆88Updated last year
- SPGCL: Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning☆14Updated 2 years ago
- Official website for "Continual Learning on Graphs: Challenges, Solutions, and Opportunities"☆50Updated last year
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆23Updated last year
- [CIKM'2024] "EasyST: A Simple Framework for Spatio-Temporal Prediction"☆17Updated 9 months ago
- [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective☆48Updated 6 months ago
- ☆22Updated 8 months ago
- ☆11Updated 9 months ago
- [CIKM2023] GiGaMA: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction☆17Updated last year
- [TITS2025] Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction☆21Updated 3 weeks ago
- the code of MoG☆16Updated 10 months ago
- ☆26Updated 2 years ago
- Official implementation of ICLR 2024 paper "Contrastive Learning Is Spectral Clustering On Similarity Graph" (https://arxiv.org/abs/2303.…☆20Updated 9 months ago
- This is an official repository for "Harnessing Vision Models for Time Series Analysis: A Survey".☆26Updated 2 weeks ago
- PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks☆36Updated 2 years ago
- [NeurIPS 2024] The repository for experiment codes for the paper: Scaling Law for Time Series Forecasting.☆18Updated 8 months ago
- When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)☆43Updated 2 years ago
- [WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"☆65Updated last year
- ☆13Updated 7 months ago
- [NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"☆79Updated last year