Healthcare knowledge graphs (HKGs) have emerged as a promising tool for
...
Graph transformation that predicts graph transition from one mode to ano...
The rapid rise in cloud computing has resulted in an alarming increase i...
Point process is the dominant paradigm for modeling event sequences occu...
Developing deep generative models has been an emerging field due to the
...
Designing and generating new data under targeted properties has been
att...
Predictive autoscaling (autoscaling with workload forecasting) is an
imp...
Nested simulation is a natural approach to tackle nested estimation prob...
Periodic graphs are graphs consisting of repetitive local structures, su...
Writer identification has practical applications for forgery detection a...
Traditional regression models do not generalize well when learning from ...