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This notebook is part of a project on Graph Embedding Techniques. It's a comparison between DeepWalk and Node2Vec using SkipGram applied to a dataset called Github Social Network. I did several tests with different p and q values for Node2Vec, the last p = 0.25 and q = 0.25 were the ones that gave me the best result.

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DeepWalk_vs_Node2Vec

This notebook is part of a project on Graph Embedding Techniques. It's a comparison between DeepWalk and Node2Vec using SkipGram applied to a dataset called Github Social Network.

I did several tests with different p and q values for Node2Vec, the last p = 0.25 and q = 0.25 were the ones that gave me the best result.

References for DeepWalk: https://arxiv.org/abs/1403.6652

References for Node2Vec: https://arxiv.org/abs/1607.00653

References for the Dataset: https://github.com/benedekrozemberczki/datasets

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This notebook is part of a project on Graph Embedding Techniques. It's a comparison between DeepWalk and Node2Vec using SkipGram applied to a dataset called Github Social Network. I did several tests with different p and q values for Node2Vec, the last p = 0.25 and q = 0.25 were the ones that gave me the best result.

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