nnzhan / MTGNN
☆808Updated last year
Related projects ⓘ
Alternatives and complementary repositories for MTGNN
- Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting☆516Updated 5 months ago
- graph wavenet☆628Updated 2 years ago
- ☆770Updated 7 years ago
- Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.☆341Updated 11 months ago
- A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.☆692Updated this week
- Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch☆456Updated 4 months ago
- Adaptive Graph Convolutional Recurrent Network☆359Updated 8 months ago
- Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)☆810Updated 2 months ago
- The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2…☆634Updated last year
- GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAA…☆419Updated 2 years ago
- The PyTorch implementation of STGCN.☆502Updated 2 months ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆352Updated 4 years ago
- Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)☆547Updated last year
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆595Updated 3 years ago
- ☆649Updated last year
- Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)☆483Updated last year
- The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.☆680Updated 3 years ago
- Temporal Pattern Attention for Multivariate Time Series Forecasting☆700Updated 5 years ago
- Code for our CIKM'22 paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.☆193Updated 2 months ago
- Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/a…☆477Updated 3 months ago
- Seq2Seq, Bert, Transformer, WaveNet for time series prediction.☆577Updated 3 months ago
- Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".☆260Updated 5 months ago
- [TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)☆635Updated 3 months ago
- Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using hist…☆279Updated last year
- This is the repository for the collection of Graph Neural Network for Traffic Forecasting.☆1,070Updated 3 months ago
- My implementation of the transformer architecture from the Attention is All you need paper applied to time series.☆311Updated 3 years ago
- Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.☆170Updated 2 years ago
- ☆661Updated last year
- A universal time series representation learning framework☆620Updated 3 months ago
- An up-to-date list of time-series related papers in AI venues.☆368Updated 5 months ago