integrated code

[regmismriti]

📦 Pull Request Template

Thank you for your contribution! Please complete the checklist and provide relevant details below to help us review your PR effectively.

---

📋 Summary

This PR integrates code components from the link-steal-paper repository into the PyGIP project. The additions include modules for inductive graph splitting, model definitions, attack simulations, and training pipelines.

---

🧪 Related Issues

---

✅ Checklist

• My code follows the project's coding style
• I have tested the changes and verified that they work
• I have added necessary documentation (if applicable)
• I have linked related issues above (if any)
• The PR is made from a feature branch, not main

---

🧠 Additional Context (Optional)

This integration adds functionality for link-stealing attacks in inductive graph settings. The code has been tested on graph datasets.

---

[Edlison]

Thank you for your contribution!

1. In data/load_data.py, please avoid importing the external package graphgallery. We aim to standardize our data loading process using only torch_geometric throughout the project to reduce external dependencies.
2. To ensure better integration with our framework, all attack methods should inherit from the BaseAttack class. This design is described in the README section on implementation. Please refactor your implementation accordingly.

Looking forward to your update! Let us know if you have any questions.