Real-world graphs generally have only one kind of tendency in their
conn...
Unsupervised graph representation learning (UGRL) has drawn increasing
r...
Graph contrastive learning (GCL) has recently emerged as an effective
le...
Graph contrastive learning (GCL) alleviates the heavy reliance on label
...
With real-time monitoring of the personalized healthcare condition, the ...
Mobile health (mHealth) information service makes healthcare management
...
Detecting anomalies for dynamic graphs has drawn increasing attention du...
Concept drift is formally defined as the change in joint distribution of...
A recent proposal of data dependent similarity called Isolation
Kernel/S...