Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

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, ...

As a CHRO or Chief Learning Officer, there are things you wish you had, but likely don't: a fast way to find internal experts, a simple method to extract ...

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 ...

Add a description, image, and links to the python-qt-node-graph topic page so that developers can more easily learn about it ...

🔍 MAC address analyzer and visualization tool - What manufacturers / vendors / devices are lurking on your network? NetVendor is a Python tool that analyzes MAC/ARP data to visualize and track the ...