Edges and nodes form the core elements of heterogeneous graphs (HGs). However, existing heterogeneous graph neural networks (HGNNS) largely rely on meta-paths to capture semantic information of nodes, ...

Security graphs are becoming indispensable for understanding system access and network activity and empowering security teams to anticipate, detect and contain breaches.

In this paper, we propose xNet, a data-driven network modeling framework based on graph neural networks (GNN). It is worth noting that xNet is not a dedicated network model designed for a specific ...

Improve this page Add a description, image, and links to the interactive-ui-javascript-css-html topic page so that developers can more easily learn about it. Curate this topic ...

Add a description, image, and links to the network-compression topic page so that developers can more easily learn about it ...