Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 2022)
☆64May 23, 2023Updated 2 years ago
Alternatives and similar repositories for spin
Users that are interested in spin are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)☆181Jun 22, 2022Updated 3 years ago
- tsl: a PyTorch library for processing spatiotemporal data.☆375Oct 17, 2025Updated 6 months ago
- Official repository for the paper "Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling" (ICML 2024)☆16Mar 3, 2025Updated last year
- Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)☆49Oct 10, 2023Updated 2 years ago
- Official repository for the paper "Taming Local Effects in Graph-based Spatiotemporal Forecasting" (NeurIPS 2023)☆25Apr 1, 2025Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Simple code for the tutorial on Polynomial Nets.☆13Jan 19, 2023Updated 3 years ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆145Dec 23, 2023Updated 2 years ago
- [KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"☆51May 8, 2025Updated 11 months ago
- Code accompanying our NeurIPS 2022 traffic4cast challenge☆84Apr 20, 2023Updated 3 years ago
- Official repository for the paper "Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting" (ICML 2024)☆24Jul 25, 2024Updated last year
- Official reference implementation of our paper "Temporal Graph ODEs for Irregularly-Sampled Time Series" accepted at IJCAI 24☆21Apr 17, 2025Updated last year
- ☆129Jun 8, 2023Updated 2 years ago
- The code for Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values.☆32Aug 27, 2024Updated last year
- The library for pooling in Graph Neural Networks made for Pytorch Geometric☆57Apr 21, 2026Updated last week
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Awesome Deep Learning for Time-Series Imputation, including an unmissable paper and tool list about applying neural networks to impute in…☆418Mar 17, 2026Updated last month
- Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"☆448Mar 14, 2024Updated 2 years ago
- Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023☆35Nov 8, 2023Updated 2 years ago
- Official implementation of BGNN(CVPR 2021)☆20Jul 12, 2021Updated 4 years ago
- Code for "Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling" (TNNLS 2020).☆23Dec 9, 2020Updated 5 years ago
- ☆31May 23, 2025Updated 11 months ago
- ☆23Jun 16, 2021Updated 4 years ago
- ☆19Sep 21, 2023Updated 2 years ago
- BayOTIDE-Bayesian Online Multivariate Time Series Imputation with Functional Decomposition (ICML 2024 spotlight)☆37Sep 7, 2025Updated 7 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- PyTorch implementation of Diffusion Convolutional Recurrent Neural Network☆52May 6, 2020Updated 5 years ago
- Implementation of a list sweeper: instead of the cartesian product, sweep over the zipped list☆28Mar 17, 2025Updated last year
- Equivariant layers for RC-complement symmetry in DNA sequence data☆12Feb 24, 2022Updated 4 years ago
- Official implementation of "Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data".☆10Dec 12, 2022Updated 3 years ago
- The codes and data of paper "Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks"☆34Feb 16, 2020Updated 6 years ago
- Official code for "Traffic Speed Imputation with Spatio-Temporal Attentions and Cycle-Perceptual Training" (CIKM'22).☆13Mar 8, 2024Updated 2 years ago
- The official code for "Spatial temporal transformer networks for traffic flow forecasting"☆113Nov 17, 2021Updated 4 years ago
- Boosted Hybrids of ensemble gradient algorithm for the long-term time series forecasting (LTSF)☆17Feb 28, 2025Updated last year
- The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (S…☆504Oct 1, 2025Updated 7 months ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- 🍅Concrete pump truck concrete piston fault early warning competition, simply processing the training set, you can get a good score, plus…☆11Apr 28, 2023Updated 3 years ago
- Research code for avalanche detection in ground-based photographs with deep learning☆14Jul 10, 2023Updated 2 years ago
- ☆11Feb 4, 2022Updated 4 years ago
- ☆11Jun 28, 2022Updated 3 years ago
- source code of paper 'Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search Based on Reinforcement Learning and Exis…☆11Jan 26, 2021Updated 5 years ago
- Machine learning for transportation data imputation and prediction.☆1,287Feb 20, 2026Updated 2 months ago
- Source codes and examples for DeepPrime☆14Dec 17, 2024Updated last year