The Source

From Streamer to Superpower: How Byron Booker’s Lookhu TV Turns Creators Into Their Own Networks

The architect of that world is Byron Booker, a founder who has spent over two decades moving between recording studios, film ...
IEEE

Enhancing Graph Neural Networks for Out-of-Distribution Graph Detection

Abstract: Graph neural networks (GNNs) have shown promise in graph classification tasks, but they struggle to identify out-of-distribution (OOD) graphs often encountered in real-world scenarios, ...
GitHub

Deep Graph Anomaly Detection: A Survey and New Perspectives

Deep Graph Anomaly Detection: A Survey and New Perspectives A professionally curated list of awesome resources (paper, code, data, etc.) on Deep Graph Anomaly Detection (DGAD), which is the first work ...
Frontiers

Analyzing cryptographic algorithm efficiency with in graph-based encryption models

Data security involves implementing strategies to safeguard digital information against unauthorized disclosure and modification across computing and communication infrastructures. Given the ...
C&EN

A Self-Developed Fire Early Warning System Based on Gas Detection and Graph Convolution Calculation Method

School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China Advanced Sensor Research Institution, Northeast Electric Power University, Jilin 132012, China School of ...
ophthalmologyadvisor

Graph Neural Network Can Detect Epileptogenic Focal Cortical Dysplasia

Positive predictive value was higher with Multicenter Epilepsy Lesion Detection Graph compared with existing baseline algorithm. HealthDay News — A graph neural network using data from the Multicenter ...
Frontiers

EEG-based epilepsy detection with graph correlation analysis

1 School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China 2 School of Information Engineering, East University of Heilongjiang, Harbin, China Recognizing ...