zhengchuanpan / INCREASELinks
INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging
☆18Updated 2 years ago
Alternatives and similar repositories for INCREASE
Users that are interested in INCREASE are comparing it to the libraries listed below
Sorting:
- KDD'2025. This project aims to explore the application of hypergraph spatio-temporal learning and Large Language Models (LLMs) in traffi…☆30Updated last week
- The project for KDD24 paper 'Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks…☆28Updated last year
- [IJCAI'24] Official code for our paper "Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns …☆14Updated 6 months ago
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆70Updated last year
- ICDE'24 "Time-aware Graph Structure Learning for Spatiao-temporal Forecasting"☆16Updated last year
- [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective☆78Updated last month
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆77Updated 5 months ago
- ☆16Updated 8 months ago
- [WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"☆67Updated 2 years ago
- [KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"☆51Updated 8 months ago
- ☆10Updated 2 years ago
- [AAAI'25] The implementation of paper "Federated Foundation Models on Heterogeneous Time Series" | The first work to explore time series …☆18Updated last week
- [IJCAI'2022] FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting☆28Updated 2 years ago
- Official code for the paper 'Spatial-temporal Forecasting for Regions without Observations'☆13Updated 2 months ago
- An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting☆28Updated 8 months ago
- [ICDE 2025] Official implementation of "Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Kno…☆23Updated 6 months ago
- ☆13Updated 9 months ago
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆108Updated 9 months ago
- Official repository for the paper "Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling" (ICML 2024)☆16Updated 10 months ago
- My personal PyTorch framework for multivariate time series forecasting.☆99Updated last month
- [TKDE 2024] Official Code of the paper "Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series For…☆31Updated last year
- ☆32Updated last year
- [ICDE 2023] Dynamic hypergraph structure learning for traffic flow forecasting☆21Updated 3 years ago
- The appendix and core code of model CauSTG, for accepted paper in KDD 2023.☆12Updated 2 years ago
- PyTorch implementation of CaST, NeurIPS-23.☆40Updated 7 months ago
- The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement☆37Updated 2 years ago
- Quantifying Uncertainty in Deep Spatiotemporal Forecasting☆12Updated 4 years ago
- Time Series Forecasting with Dynamic Graph Modeling☆15Updated 4 months ago
- ☆40Updated 2 years ago
- This is an implementation of a traffic speed predicition model.☆10Updated 3 years ago