Aiming at the problem of sparse information distribution and lack of good correlation between data in the era of big data, this paper proposes a knowledge graph query and reasoning method based on ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

Security graphs are becoming indispensable for understanding system access and network activity and empowering security teams ...

Graph convolutional neural netwoks (GCNNs) have been emerged to handle graph-structured data in recent years. Most existing GCNNs are either spatial approaches working on neighborhood of each node, or ...

Superconductivity is an advantageous physical phenomenon observed in some materials, which entails an electrical resistance ...