The great learning ability of deep learning models facilitates us to
com...
Unsupervised graph representation learning (UGRL) has drawn increasing
r...
Entity alignment aims to discover unique equivalent entity pairs with th...
Link prediction aims to infer the existence of a link between two nodes ...
In recent years, graph neural networks (GNNs) have emerged as a successf...
Traditional network embedding primarily focuses on learning a dense vect...
Network embedding aims to learn a latent, low-dimensional vector
represe...