zshicode / GNN-AttCL-protein
Models and benchmarks for protein classification
☆11Updated last year
Related projects: ⓘ
- ☆10Updated 2 years ago
- wirte simple models by pytorch,such as lstm/gru/bilstm☆36Updated last year
- ☆12Updated 2 weeks ago
- ☆20Updated 2 years ago
- MMGCN：Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease Association Prediction☆18Updated 3 years ago
- The official implementation of SDGL☆24Updated last month
- ☆22Updated 10 months ago
- ☆39Updated 2 years ago
- a multivariate time series deep spatiotemporal forecasting model with graph neural network (MDST-GNN) is proposed to solve the existing …☆30Updated 2 years ago
- Spatial-Temporal Graph ODE Neural Network☆90Updated 2 years ago
- The code for Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values.☆16Updated 3 weeks ago
- ☆17Updated 4 months ago
- This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".☆12Updated 3 years ago
- Code for the paper "Multivariate Time Series Prediction of Complex Systems Based on Graph Neural Networks with Location Embedding Graph S…☆25Updated last year
- A novel spatio-temporal adaptive graph convolutional network model (STAGCN) based on deep learning☆18Updated last year
- Code for thesis "Graph Dynamic Autoencoder for Fault Detection"☆16Updated 3 years ago
- This is an implementation of a traffic speed predicition model.☆9Updated last year
- Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis☆29Updated 4 years ago
- ☆34Updated 2 years ago
- code of DeepGWC: A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification☆16Updated last year
- This folder contains spatiotemporal prediction models implemented in combination with Informer and GAT.☆12Updated 8 months ago
- Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)☆42Updated 11 months ago
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆66Updated last year
- ☆20Updated last year
- Official Pytorch Implementation of the paper Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling☆16Updated 2 years ago
- The pytorch implementation of ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Ro…☆37Updated 3 years ago
- Spatiotemporal graph convolutional network for wind speed prediction.☆33Updated 2 years ago
- Multivariate Time Series Forecasting with Graph Neural Networks☆13Updated 2 years ago
- ☆53Updated 2 years ago
- ☆10Updated last month