Neo4j Inc. today announced a new serverless offering that dramatically simplifies the deployment of its graph database offering, making it easier to use with artificial intelligence applications.

We propose GTAE-IDS, a novel unsupervised packet-based graph neural network framework aimed at early and precise anomaly detection in network traffic. GTAE-IDS employs graph embeddings to capture and ...

This article introduces an Adversarial Regularized Graph Autoencoder (ARGAE) enhanced by a multiscale Chebyshev Convolutional (ChebConv) encoder (MSCE) (ARGAE-MSCE), designed for unsupervised anomaly ...