Network embedding is an effective technique to learn the low-dimensional...
This paper explores learning rich self-supervised entity representations...
Transformer is the backbone of modern NLP models. In this paper, we prop...
Recent advancements in deep neural networks for graph-structured data ha...
Understanding users' interactions with highly subjective content---like
...
Building successful recommender systems requires uncovering the underlyi...
Identifying relationships between items is a key task of an online
recom...
Building a successful recommender system depends on understanding both t...
Modern recommender systems model people and items by discovering or `tea...