Robotics & Machine Learning Daily News2024,Issue(Jan.25) :33-33.

New Findings Reported from Beijing University of Posts and Telecommunications Describe Advances in Networks (One-class Graph Moderating Attention Neural Network In Quality Assessment of Creative Ideas)

Robotics & Machine Learning Daily News2024,Issue(Jan.25) :33-33.

New Findings Reported from Beijing University of Posts and Telecommunications Describe Advances in Networks (One-class Graph Moderating Attention Neural Network In Quality Assessment of Creative Ideas)

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Abstract

By a News Reporter-Staff News Editor at Network Daily News - Investigatorspublish new report on Networks. According to news reporting out of Beijing, People’s Republic of China,by NewsRx editors, the research stated, “The identification and implementation of high-quality ideas havebeen hindered in the open innovation community due to information overload. Most existing studies tendedto utilize the factors that influence the quality of ideas to construct the methods to assess the quality ofideas, which ignores the deeper information contained in the community system environment where thecreative idea is located.”

Key words

Beijing/People’s Republic of China/Asia/Networks/Neural Networks/Beijing University of Posts and Telecommunications

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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