Neural Network-Based Approach

Deep autoencoders

Neural network methods like deep autoencoders generate graph embeddings using an encoder-decoder model. A few of the embedding algorithms that use neural networks are listed below.

Structural deep network embedding (SDNE)

This algorithm tries to preserve the first- and second-order proximities. The first-order proximity defines the pairwise proximity of the nodes—that is, a first-order proximity exists between node u and node v if a link exists between them. The second-order proximity between two nodes means there is neighborhood network ...