GeoX-Lab / CGNNLinks
☆16Updated last year
Alternatives and similar repositories for CGNN
Users that are interested in CGNN are comparing it to the libraries listed below
Sorting:
- Investigating the benefit of relating river gauging stations via graph neural networks for flood forecasting☆14Updated 6 months ago
- ☆36Updated 3 years ago
- MSTGAN is an innovative method designed for multi-station urban air quality prediction, which fully considers the individual, global, and…☆19Updated last year
- The official implementation of ``CKGConv: General Graph Convolution with Continuous Kernels'' (ICML 2024)☆31Updated last year
- This is an implementation of a traffic speed predicition model.☆10Updated 2 years ago
- ☆15Updated 2 years ago
- code for HiSTGNN: Hierarchical Graph Neural Networks for Weather Forecasting, Information Sciences☆15Updated 2 years ago
- PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"☆41Updated 2 years ago
- ☆36Updated 6 months ago
- add codes☆19Updated 4 years ago
- Official PyTorch code for ICCV 2023 paper 'Learning Adaptive Neighborhoods for Graph Neural Networks'.☆20Updated last year
- Physics-incorporated Graph Neural Network Using Dynamic Higher-Order Spatio-temporal Graphs for Multivariate Time Series Imputation☆15Updated last month
- ☆20Updated last year
- ☆13Updated 10 months ago
- Models and benchmarks for protein classification☆10Updated 2 years ago
- Papers on Spatial-Temporal Graph Neural Networks☆26Updated 3 years ago
- ☆31Updated last year
- Official PyTorch implementation of "Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics" (https://openreview.net/forum…☆52Updated 5 years ago
- KDD 2025: 📄"Predicting the Dynamics of Complex Systems via Multiscale Diffusion Autoencoder"☆16Updated 4 months ago
- Quantifying Uncertainty in Deep Spatiotemporal Forecasting☆12Updated 4 years ago
- Time Series Forecasting with Dynamic Graph Modeling☆14Updated last month
- ☆25Updated 4 years ago
- The PyTorch version of ChebNet.☆36Updated 10 months ago
- KDD'23 --- Graph Neural Processes for Spatio-Temporal Extrapolation☆35Updated 2 years ago
- Implementation of GCKM in our paper: Graph Convolutional Kernel Machine versus Graph Convolutional Networks, NeurIPS 2023.☆11Updated last year
- [NeurIPS 2024] Official Implementation of "SDformer: Similarity-driven Discrete Transformer For Time Series Generation"☆12Updated 4 months ago
- (Still in coding)A pytorch implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets) from hwwang55☆46Updated 5 years ago
- The source code for Adaptive Kernel Graph Neural Network at AAAI2022☆15Updated 3 years ago
- Graph Nets (GN) implement by pytorch☆17Updated 6 years ago
- Official implementation for "Predicting Long-term Dynamics of Complex Networks via Identifying Skeleton in Hyperbolic Space" (KDD2024)☆24Updated 6 months ago