Dynamic graphs serve as a generic abstraction and description of the evolutionary
behaviors of various complex systems (eg, social networks and communication networks) …

Embodied AI agents that search for objects in large environments such as households often
need to make efficient decisions by predicting object locations based on partial information …

In many real-world domains, data can naturally be represented as networks. This is the case
of social networks, bibliographic networks, sensor networks and biological networks. Some …

Temporal networks are essential in representing systems where interactions between
elements evolve over time. A crucial aspect of these networks is their controllability the …

As a matter of public safety and resource allocation, crime prediction is of paramount
importance. As a result of applying data preprocessing techniques and a graph-based …

Background: Prediction of drug-target interactions is an essential step in drug discovery.
Given drug-target interactions network, the objective of this task is to predict probable …

Embodied agents often need to find objects to achieve downstream tasks, which makes it
valuable to study solutions to the challenges posed by embodied object search. These …