AdityaLab / CAMulLinks
☆14Updated 3 years ago
Alternatives and similar repositories for CAMul
Users that are interested in CAMul are comparing it to the libraries listed below
Sorting:
- ☆44Updated 2 years ago
- ☆25Updated 2 years ago
- ☆29Updated last year
- [KDD 2021] Official Code of the paper "ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting"☆60Updated last year
- Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022☆79Updated 2 years ago
- ☆39Updated 3 years ago
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆84Updated 2 years ago
- ☆19Updated 2 years ago
- This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"☆37Updated 2 years ago
- ☆96Updated 7 months ago
- Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)☆48Updated last year
- ☆25Updated 4 years ago
- PyTorch implementation of ESG☆84Updated 2 years ago
- The pytorch implementation of ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Ro…☆42Updated 4 years ago
- Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.☆174Updated 3 years ago
- ☆15Updated last year
- [Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting☆87Updated last month
- ☆39Updated last year
- [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation☆25Updated last year
- Source code of KDD'22 paper: Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting☆29Updated 2 years ago
- ☆48Updated 3 years ago
- When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)☆43Updated 2 years ago
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆56Updated 10 months ago
- Source codes for Time2Graph+ model.☆33Updated 4 years ago
- ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks☆30Updated last year
- My personal PyTorch framework for multivariate time series forecasting.☆94Updated 4 months ago
- ☆44Updated 2 years ago
- [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis☆92Updated 10 months ago
- [ICDE'2024] Temporal-Frequency Masked Autoencoders for Time Series Anomaly Detection☆22Updated 11 months ago
- ☆69Updated 3 years ago