PageRank/Random Walk: Boosting (Kulkarni et al., 2009), AGDISTISG (Usbeck et al., 2014), Babelfy (Moro et al., 2014), WAT (Piccinno and Ferragina, 2014), xLisa (Zhang and Rettinger, 2014) and WNED (Guo and Barbosa, 2017) performs PageRank (Page et al., 1999) or random walk (Tong et al., 2006) on the mention-entity graph and use the convergence score for disambiguation.
the main goal of NCEL is to find a solution for collective entity linking using an end-to-end neural model, rather than to improve the measurements of local textual similarity or global mention/entity relatedness.