Link Prediction with Mutual Attention for Text-Attributed Networks

02/28/2019
by   Robin Brochier, et al.
0

In this extended abstract, we present an algorithm that learns a similarity measure between documents from the network topology of a structured corpus. We leverage the Scaled Dot-Product Attention, a recently proposed attention mechanism, to design a mutual attention mechanism between pairs of documents. To train its parameters, we use the network links as supervision. We provide preliminary experiment results with a citation dataset on two prediction tasks, demonstrating the capacity of our model to learn a meaningful textual similarity.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset