跳到主要內容區塊
:::
A- A A+

演講公告

:::

Machine Learning Methods for Network Visualization and Analysis

  • 2019-05-22 (Wed.), 10:30 AM
  • 中研院-統計所6005會議室(環境變遷研究大樓A棟)
  • 茶 會:上午10:10統計所6005會議室(環境變遷研究大樓A棟)
  • Mr. Oh-Hyun Kwon
  • University of California, Davis

Abstract

Networks are commonly used for representing complex systems, such as interactions between proteins, data communications between computers, and relationships between people. Recently, machine learning methods have achieved impressive performance for a variety of data analysis tasks. This talk presents machine learning methods for visualizing and analyzing network data. First, I present a method designed to quickly visualize a network in a chosen layout based on computing its structural similarity with a database of pre-laid-out networks using graph kernels. Second, I introduce a technique to systematically generate visualizations of a network in diverse layouts using deep generative models. In summary, this talk presents new approaches to depicting networks where users can effortlessly obtain effective visualization of a network without expert knowledge.

最後更新日期:
回頁首