Self-supervised learning on graphs has made large strides in achieving g...
Culture shapes people's behavior, both online and offline. Surprisingly,...
Graph Neural Networks (GNNs) have been widely used on graph data and hav...
As powerful tools for representation learning on graphs, graph neural
ne...
Training graph neural networks (GNNs) on large graphs is complex and
ext...
Link prediction (LP) has been recognized as an important task in graph
l...
Explaining predictions made by machine learning models is important and ...
Graph Neural Networks (GNNs) have recently become popular for graph mach...
Graph Neural Networks (GNNs) have risen to prominence in learning
repres...
Data augmentation has been widely used to improve generalizability of ma...
With the rapid growth and prevalence of social network applications (App...
While mobile social apps have become increasingly important in people's ...