안성진 교수

Link prediction is one of the key problems for graph-structured data. With the advancement of graph neural networks, graph autoencoders (GAEs) and variational graph autoencoders (VGAEs) have been proposed to learn graph embeddings in an unsupervised way. It has been shown that these methods are effective for link prediction tasks. However, they do not work well in link predictions when a node whose degree is zero (i.g., isolated node) is involved. We have found that GAEs/VGAEs make embeddings of

This article is aimed at defining items of analysis using SNMP MIB-II for the purpose of analyzing the performance of Internet-based networks running on TCP/IP protocol, and then utilizing these items, in conjunction with various Web technology and JAVA, to design and implement a Web-based interface of a management system to analyze the performance of the Internet. Copyright © 1999 John Wiley & Sons, Ltd.

In order to monitor web service and measure a web server performance, we develop the performance manager system that manages the traffic of a web server using JAVA. Recently, because of increasing web traffic by web growth, the need of traffic management on the web is more demanded. Therefore, the traffic management of web service and the effective management of a web server performance are needed. For this, we have designed interfaces with which users can manage Collection-Request, Analysis-Req