v1xerunt / STAN
☆24Updated 10 months ago
Related projects ⓘ
Alternatives and complementary repositories for STAN
- [ECML-PKDD2022] EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting☆20Updated 2 years ago
- ☆43Updated last week
- [KDD 2024] Papers about deep learning in epidemic modeling.☆41Updated last month
- This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"☆34Updated last year
- [ECMLPKDD22] MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks☆20Updated last year
- ☆47Updated 3 years ago
- The code of Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction☆13Updated 2 years ago
- [ICDE'2022] "Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction"☆34Updated 2 years ago
- Spatial-Temporal Graph ODE Neural Network☆95Updated 2 years ago
- Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.☆169Updated 2 years ago
- ☆17Updated 2 years ago
- PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"☆47Updated 9 months ago
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆72Updated 2 years ago
- Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)☆148Updated 2 years ago
- [PAKDD 2021] SST-GNN: Simplified Spatio-temporal Traffic forecasting model using Graph Neural Network☆28Updated last month
- ☆42Updated 2 years ago
- A Data-Driven Graph Generative Model for Temporal Interaction Networks☆34Updated 2 years ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆106Updated 10 months ago
- Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)☆44Updated last year
- ☆69Updated last year
- ☆32Updated 3 years ago
- ☆20Updated 2 years ago
- Source code of implementing spatial-temporal zero-inflated negative binomial network for trip demand prediction☆24Updated 2 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆95Updated last year
- ☆298Updated 3 months ago
- ☆51Updated 5 years ago
- This is the official release code of AAAI2023 accepted paper: "Causal Conditional Hidden Markov Model for Multimodal Traffic Prediction"☆12Updated last year
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆34Updated 6 months ago
- ☆74Updated 2 years ago
- An end-to-end deep learning model for spatial-temporal prediction☆33Updated 2 years ago