marshka / hdttsLinks
Official repository for the paper "Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling" (ICML 2024)
☆13Updated 4 months ago
Alternatives and similar repositories for hdtts
Users that are interested in hdtts 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".☆56Updated 10 months ago
- Official repository for the paper "Taming Local Effects in Graph-based Spatiotemporal Forecasting" (NeurIPS 2023)☆21Updated 3 months ago
- The project for KDD24 paper 'Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks…☆25Updated 10 months ago
- Official repository for the paper "Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting" (ICML 2024)☆18Updated 11 months ago
- Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)☆48Updated last year
- ☆11Updated 10 months ago
- KDD'23 --- Graph Neural Processes for Spatio-Temporal Extrapolation☆35Updated 2 years ago
- Official reference implementation of our paper "Temporal Graph ODEs for Irregularly-Sampled Time Series" accepted at IJCAI 24☆19Updated 3 months ago
- [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation☆25Updated last year
- ☆26Updated 2 years ago
- Official repo to paper☆13Updated 2 years ago
- Spatial-Temporal Graph ODE Neural Network☆113Updated 3 years ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆122Updated last year
- ☆48Updated 3 years ago
- ☆85Updated last year
- [KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"☆43Updated 2 months ago
- CIKM'24: Channel-Aware Low-Rank Adaptation for Long-term Series Forecasting☆17Updated 2 months ago
- HSTGODE code☆9Updated last year
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆98Updated 4 months ago
- Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 202…☆58Updated 2 years ago
- [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective☆49Updated 6 months ago
- "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022☆156Updated 10 months ago
- My personal PyTorch framework for multivariate time series forecasting.☆94Updated 4 months ago
- Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.☆84Updated 6 months ago
- The offical code for 《A Time Series is Worth Five Experts: Heterogeneous Mixture of Experts for Traffic Flow Prediction》☆23Updated 9 months ago
- The code for "MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series Prediction"☆12Updated 5 months ago
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆84Updated 2 years ago
- SATCN for Kriging☆15Updated 3 years ago
- State-of-art Foundational Time-series models☆26Updated last month
- This is an official implementation of "DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching" (NeurIPS…☆15Updated 8 months ago