resgraphnet
Science Score: 67.0%
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Low similarity (10.0%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: zw-Ch
- License: mit
- Language: Python
- Default Branch: main
- Size: 1.82 MB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
- Releases: 1
Metadata Files
README.md
ResGraphNet
ResGraphNet is a deep neural network used to predict temperature time series. It effectively combines Graph neural network (GNN) with ResNet modules.
The paper is available in https://doi.org/10.1016/j.aiig.2022.11.001.
Installation
ResGraphNet is based on Pytorch and Pytorch Geometric
Firstly please create a virtual environment for yourself
conda create -n your-env-name python=3.11
Then, there are some Python packages need to be installed
conda install pytorch torchvision torchaudio cudatoolkit=12.1
conda install pyg -c pyg
conda install matplotlib
Training and Testing Models
The running programs based on different models is in run, and you can type the following command to train the model:
python run_ResGraphNet.py
Graphical User Interface (GUI)
We also provide a GUI program run_python.py so that you can test each dataset and each network model more quickly and intuitively, as shown in the following figure:

Owner
- Name: czw
- Login: zw-Ch
- Kind: user
- Company: Xi'an Jiaotong University
- Repositories: 1
- Profile: https://github.com/zw-Ch
Citation (CITATION.cff)
cff-version: 1.0.0 message: "If you use this software, please cite it as below." authors: - family-names: "Chen" given-names: "Ziwei" orcid: "https://orcid.org/0000-0003-4418-7121" - family-names: "Wang" given-names: "Zhiguo" orcid: "https://orcid.org/0000-0003-0343-7278" - family-names: "Gao" given-names: "Jinghuai" orcid: "" title: "ResGraphNet" version: 1.0.0 doi: 10.5281/zenodo.7213337 date-released: 2022-10-16 url: "https://github.com/czw1296924847/ResGraphNet"
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