This small project tried to replicate the results of the original node2vec paper through its reference implementation for two datasets, focusing only on multi-label classification. The repository ...

Learning low-dimensional representations (embeddings) of nodes in large graphs is key to applying machine learning on massive biological networks. Node2vec is the most widely used method for node ...

node2vec (Grover and Leskovec, 2016) is a machine learning method used to create vector representations of the nodes of a graph. More information about node2vec can be found here. This repository ...

Learning low-dimensional representations (embeddings) of nodes in large graphs is key to applying machine learning on massive biological networks. Node2vec is the most widely used method for node ...