Graph-based semi-supervised learning (GSSL) is an important paradigm among approaches and includes the two processes of graph construction label inference. In most traditional GSSL methods, are completed independently. Once constructed, result inference cannot be changed. Therefore, quality directly determines GSSL’s performance. Most methods make certain assumptions about data distribution, re...

Abstract The recent upgrade of the LHCb experiment pushes data processing rates up to 40 Tbit/s. Out whole reconstruction sequence, one most time consuming algorithms is calorimeter reconstruction. It aims at performing a clustering readout cells from detector that belong same particle in order measure its energy and position. This article presents new algorithm for makes use graph structures o...

The automatic identification of the topology power networks is important for data-driven and situation-aware operation grids. Traditional methods lack a data-tolerant mechanism, accuracy their performance in terms thus affected by quality data. Topology related to link prediction problem. graph neural network can be used predict state unlabeled nodes (lines) through training on features labeled...

Video-based face recognition has attracted significant attention in many applications such as media technology, network security, human-machine interfaces, and automatic access control system in the past decade. The usual way for face recognition is based upon the grayscale image produced by combining the three color component images. In this work, we consider grayscale image as well as color s...