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

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 ...
IEEE

Contrastive Semantic-Aware Masked Autoencoder for Point Cloud Self-Supervised Learning

Abstract: Masked Autoencoder (MAE) has shown remarkable potential in self-supervised representation learning for 3D point clouds. However, these methods primarily rely on point-level or low-level ...
GitHub

SCENIR: Visual Semantic Clarity through Unsupervised Scene Graph Retrieval

This repository provides the official implementation for the paper: "SCENIR: Visual Semantic Clarity through Unsupervised Scene Graph Retrieval" by Nikolaos Chaidos, Angeliki Dimitriou, Maria ...