Point-cloud-based 3D perception has attracted great attention in various...
Graph neural networks (GNNs) have demonstrated a significant success in
...
We present and discuss seven different open problems in applied
combinat...
Efficient multi-robot task allocation (MRTA) is fundamental to various
t...
This paper introduces an interactive visualization interface with a mach...
Nowadays, it is broadly recognized in the power system community that to...
In computer-aided drug discovery (CADD), virtual screening (VS) is used ...
Simplicial neural networks (SNN) have recently emerged as the newest
dir...
Graph neural networks (GNNs) have emerged as a powerful tool for graph
c...
As multiple adverse events in 2021 illustrated, virtually all aspects of...
There recently has been a surge of interest in developing a new class of...
Due to high utility in many applications, from social networks to blockc...
Complex networks are used to describe a broad range of disparate social
...