XDZhelheim / HimNetLinks
[KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".
☆64Updated last year
Alternatives and similar repositories for HimNet
Users that are interested in HimNet are comparing it to the libraries listed below
Sorting:
- [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective☆59Updated 2 months ago
- My personal PyTorch framework for multivariate time series forecasting.☆97Updated 7 months ago
- [TITS2025] Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction☆27Updated last month
- Official Code of TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts☆57Updated last year
- The project for KDD24 paper 'Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks…☆28Updated last year
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆101Updated 6 months ago
- This is the PyTorch official implementation of SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Ser…☆18Updated last year
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆198Updated last year
- An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting☆27Updated 5 months ago
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆72Updated 4 months ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆131Updated last year
- The offical code for 《A Time Series is Worth Five Experts: Heterogeneous Mixture of Experts for Traffic Flow Prediction》☆27Updated last year
- Official implementation for ICML24 paper "Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks …☆115Updated 5 months ago
- [IJCAI'24] Official code for our paper "Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns …☆14Updated 3 months ago
- [Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting☆88Updated last month
- ☆65Updated 7 months ago
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆86Updated 2 years ago
- ☆19Updated 3 years ago
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆70Updated 2 months ago
- Spatial-Temporal Graph ODE Neural Network☆118Updated 3 years ago
- [IJCAI'2022] FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting☆27Updated 2 years ago
- Code of “Dynamic Graph Convolutional Network with Attention Fusion for Traffic Flow Prediction”.☆19Updated last year
- [ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dep…☆70Updated 7 months ago
- The code of AdpSTGCN: Adaptive Spatial Temporal Graph Convolutional Network for Traffic Forecasting☆14Updated last year
- The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement☆32Updated last year
- PyTorch Implementation of "TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting" (ICML 2025)☆62Updated 3 months ago
- ☆10Updated 2 years ago
- When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)☆45Updated 2 years ago
- ☆27Updated 2 years ago
- The appendix and core code of model CauSTG, for accepted paper in KDD 2023.☆11Updated 2 years ago