Expand description
Node2Vec graph embedding algorithm
Implements the Node2Vec algorithm from Grover & Leskovec (2016) for learning continuous feature representations for nodes in networks. Uses biased random walks with return parameter p and in-out parameter q to explore neighborhoods.
§References
- Grover, A. & Leskovec, J. (2016). node2vec: Scalable Feature Learning for Networks. KDD 2016.
Structs§
- Node2
Vec - Node2Vec embedding algorithm