It is an effective method to implement risk assessment of level information systems interconnection using attack graph. However, correlation between nodes in the attack graph is very complex. For ...

Graph-attention-network-based-multi-level-node-classification-in-a-protein-protein-interaction-graph This notebook was created as part of an assignment for a course on Advanced Deep Learning at ...

Researchers at Johns Hopkins University recently uncovered a startling 180 zero-day vulnerabilities across thousands of Node.js libraries using a new code analysis tool they developed specifically ...

This repository contains the code for a Molecular Graph Neural Network (MGNN) designed for classifying both node-level and edge-level of molecules. It utilizes RDKit for molecular processing and ...

The CEO of Edge & Node shares how The Graph network – sometimes called the "Google of Web3" – is supposed to help organize data for other protocols. By Margaux Nijkerk | Edited by Bradley Keoun.

As one of the leads, Changwoo Min, tells The Next Platform, even though terascale graph processing is no longer unheard of, finding ways to make it efficient and high performance is where the real ...