Abstract: Influence maximization (IM) aims to select a seed set of users that maximizes the expected influence spread and is a fundamental problem in social network analysis. The dynamic and complex ...
The authors do not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and have disclosed no relevant affiliations beyond their ...
(THE CONVERSATION) In late February 2026, the Panamanian government took control of two ports in the Panama Canal that had been operated by a Hong Kong conglomerate for two decades. The move is the ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
gather information about a target website using various tools and techniques to perform subdomain enumeration, directory enumeration, port scanning and service enumeration, vulnerability scanning, web ...
Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...
A Python toolkit for securely authenticating with HashiCorp Vault and using retrieved credentials to backup network device configurations. This tool demonstrates enterprise-grade credential management ...