Hypergraph Neural Networks (HGNNs) have been significantly successful in higher-order tasks. However, recent study have shown that they are also vulnerable to adversarial attacks like Graph Neural ...

Graphs are everywhere. Whenever a delivery company models a road network, a power grid operator tracks the flow of ...

Graph level anomaly detection (GLAD) aims to spot anomalous graphs that structure pattern and feature information are different from most normal graphs in a graph set, which is rarely studied by other ...

The relentless growth of the Internet of Things has transformed ordinary environments into vast webs of interconnected ...

A new graph-theoretic framework provides a unified description of atom-light interactions across regimes ranging from weak to ...

Microsoft Corp. today is expanding its Fabric data platform with the addition of native graph database and geospatial mapping capabilities, saying the enhancements enhance Fabric’s capacity to power ...