☆42Nov 2, 2021Updated 4 years ago
Alternatives and similar repositories for Z-GCNETs
Users that are interested in Z-GCNETs are comparing it to the libraries listed below
Sorting:
- Addressing the problem of predicting crime occurrence based on historic records☆11Nov 27, 2019Updated 6 years ago
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆227Jan 26, 2021Updated 5 years ago
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆192Aug 1, 2022Updated 3 years ago
- [ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"☆57Dec 24, 2024Updated last year
- PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…☆25Jul 9, 2023Updated 2 years ago
- Hybrid ES-RNN models for time series forecasting☆19May 14, 2021Updated 4 years ago
- ☆19Aug 31, 2022Updated 3 years ago
- The pytorch code of DGCN(TITS)☆56Jul 18, 2022Updated 3 years ago
- Forecasting library in python☆13Sep 6, 2019Updated 6 years ago
- This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)☆12Jul 10, 2022Updated 3 years ago
- Spatial-Temporal Graph ODE Neural Network☆126Jan 18, 2022Updated 4 years ago
- Time Series Forecasting with Dynamic Graph Modeling☆15Aug 31, 2025Updated 6 months ago
- Official implementation of "Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data".☆11Dec 12, 2022Updated 3 years ago
- On the Robustness of Graph Neural Diffusion to Topology Perturbations☆16Nov 4, 2022Updated 3 years ago
- ☆44Aug 3, 2022Updated 3 years ago
- Spectral Graph Attention Network with Fast Eigen-approximation☆12Dec 24, 2021Updated 4 years ago
- AGC-Net (Adaptive Graph Convolution Networks) is an advanced model designed to predict traffic flow. Dataset: METR-LA, PEMS-BAY☆12Sep 6, 2023Updated 2 years ago
- Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.☆180Nov 30, 2021Updated 4 years ago
- A pytorch re-implementation of STFGNN☆30Mar 8, 2023Updated 2 years ago
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆90May 13, 2025Updated 9 months ago
- ☆10Jun 3, 2021Updated 4 years ago
- ☆11Mar 30, 2022Updated 3 years ago
- ☆29Dec 1, 2021Updated 4 years ago
- ☆25Aug 2, 2022Updated 3 years ago
- [IJCAI'2022] FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting☆28Aug 25, 2023Updated 2 years ago
- Fine-grained attention in hierarchical transformers for tabular time-series.☆12Dec 24, 2024Updated last year
- Expressive diffeomorphic transformations based on the closed-form integration of continuous piecewise affine velocity functions.☆16Aug 9, 2023Updated 2 years ago
- Time Series Forecasting in Python☆14Jan 24, 2025Updated last year
- SPGCL: Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning☆14Feb 16, 2023Updated 3 years ago
- L4DC2021 code repository☆15Apr 14, 2021Updated 4 years ago
- Causal discovery with typed directed acyclic graphs (t-DAG). This is a ServiceNow Research project that was started at Element AI.☆13Jul 6, 2023Updated 2 years ago
- A correlation information-based spatiotemporal network for traffic flow forecasting☆28Feb 23, 2024Updated 2 years ago
- ☆74Nov 19, 2022Updated 3 years ago
- code for "Neural Jump Ordinary Differential Equations"☆31Feb 16, 2023Updated 3 years ago
- ☆13Oct 24, 2021Updated 4 years ago
- Official Python implementation of Delaunay Component Analysis algorithm☆13May 18, 2022Updated 3 years ago
- Code for our NeurIPS 2020 paper "Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity"☆89Apr 16, 2021Updated 4 years ago
- ☆13Apr 13, 2021Updated 4 years ago
- Official PyTorch implementation of the paper "Utilizing Expert Features for Contrastive Learning of Time-Series Representations"☆14Jan 31, 2023Updated 3 years ago