notes.md

Network Notes

1. generate services

2. setup users

3. generate graph

4. setup network

vulnerabilities services hosts & compromised hosts users:

Graph Neural Network (GNN): https://www.datacamp.com/tutorial/comprehensive-introduction-graph-neural-networks-gnns-tutorial

Special types of neural networks capable of working with a graph data structure.

Typical tasks:

• graph classification: classify graphs into various categories
• node classification: use neighboring node labels to predict missing node labels in a graph
• edge prediction: predict edge between a pair of nodes with an incomplete adjacency matrix
• cluster detection: divide nodes into various clusters based on edge structure
• graph embedding: map graphs into vectors, preserving the relevant information on nodes, edges, structure
• graph generation: learns from sample graph distribution to generate a new but similar graph structure