The occurrence of diffusion on a graph is a prevalent and significant
ph...
Machine Learning algorithms have had a profound impact on the field of
c...
Spatial optimization problems (SOPs) are characterized by spatial
relati...
Due to its vast application on online social networks, Influence Maximiz...
Recently, an increasing number of researchers, especially in the realm o...
Modeling the spatiotemporal nature of the spread of infectious diseases ...
During the past decade, deep learning's performance has been widely
reco...
The success of deep learning has been widely recognized in many machine
...
Modeling and forecasting forward citations to a patent is a central task...
Circuit obfuscation is a recently proposed defense mechanism to protect
...
For node level graph encoding, a recent important state-of-art method is...
Self-paced learning (SPL) mimics the cognitive process of humans, who
ge...
FusionGAN is a novel genre fusion framework for music generation that
in...
Deriving event storylines is an effective summarization method to succin...