KimMeen / Awesome-GNN4TSLinks
[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)
☆846Updated last year
Alternatives and similar repositories for Awesome-GNN4TS
Users that are interested in Awesome-GNN4TS are comparing it to the libraries listed below
Sorting:
- Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting☆595Updated last year
- An up-to-date list of time-series related papers in AI venues.☆431Updated last year
- Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)☆940Updated 2 months ago
- Awesome Deep Learning for Time-Series Imputation, including an unmissable paper and tool list about applying neural networks to impute in…☆405Updated 2 weeks ago
- ☆916Updated 2 years ago
- Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"☆240Updated last year
- Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)☆589Updated 2 years ago
- Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)☆175Updated 3 years ago
- Awesome Time-Series and Spatio-Temporal Related☆111Updated 2 years ago
- Spatio-Temporal Prediction Paper List☆260Updated 8 months ago
- tsl: a PyTorch library for processing spatiotemporal data.☆364Updated 3 months ago
- Resources about time series forecasting and deep learning.☆760Updated this week
- PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https:…☆386Updated 2 years ago
- The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"☆636Updated 2 years ago
- The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (S…☆488Updated 4 months ago
- A curated list of state-of-the-art papers on deep learning for universal representations of time series.☆202Updated 7 months ago
- LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023)☆265Updated 2 years ago
- Adaptive Graph Convolutional Recurrent Network☆417Updated last year
- [IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting☆248Updated last month
- A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.☆1,190Updated last year
- Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.☆429Updated 2 years ago
- A comprehensive survey on the time series domains☆545Updated last year
- A professional list of Tutorials and Surveys on DL, ML, DM, CV, NLP, Speech in top AI conferences and journals.☆161Updated 2 years ago
- ☆880Updated 8 years ago
- A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.☆1,588Updated last year
- tracking papers, datasets, and models of "large language model (LLM) for time series"☆512Updated last year
- A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).☆362Updated last year
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆213Updated 2 months ago
- [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.☆279Updated 2 years ago
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆254Updated 4 years ago