DeepWalk

This repository aims to reproduce the DeepWalk method as originally presented in the paper titled "DeepWalk: Online Learning of Social Representations".

Files Overview:

1. deepwalk.ipynb:

• Designed for datasets loaded in .csv files.
• Contains the primary implementation of the DeepWalk method, producing a 128-dimensional embedding with Graph information.
• Includes an evaluation using Node Classification.

2. deepwalk_PPI.ipynb:

• Tailored for the Pytorch Geometric datasets.
• Adapts the content of the previous file for compatibility with these datasets.

3. deepwalk_PPI.ipynb:

• Tailored for the PPI dataset.
• Adapts the content of the previous file for compatibility with this dataset.

4. linkprediction.ipynb

• Evaluation of an embedding using Link Prediction

5. Link_prediction_Pytorch_Geometric.ipynb

• Tailored for the Pytorch Geometric datasets
• Adapts the content of the previous file for compatibility with these datasets.

Reference: Perozzi, B., Al-Rfou, R., & Skiena, S. (2014, August). Deepwalk: Online learning of social representations. In Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 701-710).