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☆15Updated 5 months ago
- PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"☆41Updated last year
- ☆15Updated 2 years ago
- MSTGAN is an innovative method designed for multi-station urban air quality prediction, which fully considers the individual, global, and…☆18Updated last year
- ☆35Updated 5 months ago
- ☆36Updated 3 years ago
- ☆20Updated last year
- Official PyTorch code for ICCV 2023 paper 'Learning Adaptive Neighborhoods for Graph Neural Networks'.☆19Updated last year
- This is an implementation of a traffic speed predicition model.☆10Updated 2 years ago
- The official implementation of ``CKGConv: General Graph Convolution with Continuous Kernels'' (ICML 2024)☆31Updated last year
- The PyTorch version of ChebNet.☆35Updated 8 months ago
- code for HiSTGNN: Hierarchical Graph Neural Networks for Weather Forecasting, Information Sciences☆15Updated 2 years ago
- KDD 2025: 📄"Predicting the Dynamics of Complex Systems via Multiscale Diffusion Autoencoder"☆15Updated 3 months ago
- Models and benchmarks for protein classification☆10Updated 2 years ago
- Papers on Spatial-Temporal Graph Neural Networks☆26Updated 3 years ago
- Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)☆50Updated last year
- ☆15Updated last year
- ☆44Updated 4 years ago
- add codes☆19Updated 4 years ago
- [ICDE'2022] "Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction"☆37Updated 2 years ago
- [CIKM'25] Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation☆35Updated 2 weeks ago
- Official implementation of the paper "ST-LLM+ : Graph Enhanced Spatio-Temporal Large Language Models for Traffic Prediction"☆22Updated last month
- Neural Manifold Operators (KDD 2024)☆22Updated 8 months ago
- Quantifying Uncertainty in Deep Spatiotemporal Forecasting☆12Updated 4 years ago
- ☆11Updated 4 years ago
- An end-to-end deep learning model for spatial-temporal prediction☆35Updated 3 years ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆116Updated 5 months ago
- A list for GNNs and related works.☆99Updated last month
- ☆25Updated 4 years ago
- Implementation of GCKM in our paper: Graph Convolutional Kernel Machine versus Graph Convolutional Networks, NeurIPS 2023.☆11Updated last year