To improve the resilience of the computer network infrastructure against cyber attacks or causal influences and find ways to mitigate their impact, we need to understand their structure and dynamics.

Abstract: Vision Graph Neural Network (ViG) is the first graph neural network model capable of directly processing image data. The community primarily focuses on the model structures to improve ViG's ...

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 ...

Abstract: Middle weak Roman domination is an important graph theory concept that has important applications in defense, network design, optimization, and resource management. A middle weak Roman ...

Imagine standing atop a mountain, gazing at the vast landscape below, trying to make sense of the world around you. For centuries, explorers relied on such vantage points to map their surroundings.

PyScanNet is a powerful and versatile network scanner implemented in Python, designed to facilitate comprehensive network reconnaissance and analysis. Leveraging the robust capabilities of Python, ...

This is a simple network scanner used to scan any range of IP Address to get their MAC Address. The code is written completely in Python (currently, python v3). The Automated Network Scanner is a user ...

Create a fully connected feedforward neural network from the ground up with Python — unlock the power of deep learning! New details in Charlie Kirk shooting as his widow breaks her silence Trump ...

Proceedings of The Eighth Annual Conference on Machine Learning and Systems Graph neural networks (GNNs), an emerging class of machine learning models for graphs, have gained popularity for their ...