IEEE

Blockchain-Powered Secure and Scalable Threat Intelligence System With Graph Convolutional Autoencoder and Reinforcement Learning Feedback Loop

Abstract: As the field of cybersecurity has experienced continual changes, up-to-date techniques have become increasingly necessary to analyze and defend against threats. Furthermore, the current ...
GitHub

Graph autoencoder framework that integrates subcellular transcript distribution patterns with cell-level gene expression profiles for enhanced cell clustering in imaging-based ST.

You can create a Conda environment and install the package from GitHub: This project is licensed under the Attribution-NonCommercial-NoDerivatives 4.0 International ...
IEEE

An Edge Feature Inclusive Variational Graph Autoencoder for Pet-Driven Alzheimer's Diagnosis

Abstract: Early and accurate diagnosis of Alzheimer's disease (AD) is critical for effective intervention. We propose GINEVGAE(Modified Graph Isomorphism Network with Variational Graph Autoencoder, a ...
GitHub

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection

Does the intrinsic curvature of complex networks hold the key to unveiling graph anomalies that conventional approaches overlook? Reconstruction-based graph anomaly detection (GAD) methods overlook ...
BBC

Six graphics that explain climate change

A breakthrough deal to attempt to limit global temperature rises was agreed at a conference of world nations in December 2015. These charts from the time show how and why the Earth’s climate is ...