We present a new effective and scalable framework for training GNNs in
s...
We investigate the problem of online collaborative filtering under
no-re...
In this paper, we provide a rigorous theoretical investigation of an onl...
We investigate active learning by pairwise similarity over the leaves of...
We investigate learning algorithms that use similarity queries to
approx...
We introduce a new online learning framework where, at each trial, the
l...
A reciprocal recommendation problem is one where the goal of learning is...
We investigate the problem of active learning on a given tree whose node...
Motivated by social balance theory, we develop a theory of link
classifi...
We present very efficient active learning algorithms for link classifica...
We investigate the problem of sequentially predicting the binary labels ...