Learning temporal attention in dynamic graphs with bilinear interactions
Fig 5
Predicting links by leveraging training data statistics without any learning (“no learn”) turned out to be a strong baseline.
We compare it to learned models with different human-specified graphs used for associations. Here, for the Social Evolution dataset the abbreviations are following: Blog: BlogLivejournalTwitter, Cf: CloseFriend, Fb: FacebookAllTaggedPhotos, Pol: PoliticalDiscussant, Soc: SocializeTwicePerWeek, Random: Random association graph.