Node features bolster graph-based learning when exploited jointly with
n...
The myriad complex systems with multiway interactions motivate the exten...
In this work, we propose data augmentation via pairwise mixup across
sub...
Graph learning problems are typically approached by focusing on learning...
We develop a novel data-driven nonlinear mixup mechanism for graph data
...
We consider the problem of estimating the topology of multiple networks ...
We consider the problem of estimating the topology of multiple networks ...
Network models provide a powerful and flexible framework for analyzing a...
Learning graphs from sets of nodal observations represents a prominent
p...
Inferring graph structure from observations on the nodes is an important...