Robotics & Machine Learning Daily News2024,Issue(Sep.23) :84-85.

Study Data from Lanzhou University of Technology Provide New Insights into Intel ligent Systems (Graph Convolutional Networks With the Self-attention Mechanism f or Adaptive Influence Maximization In Social Networks)

Robotics & Machine Learning Daily News2024,Issue(Sep.23) :84-85.

Study Data from Lanzhou University of Technology Provide New Insights into Intel ligent Systems (Graph Convolutional Networks With the Self-attention Mechanism f or Adaptive Influence Maximization In Social Networks)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning - Int elligent Systems is the subject of a report. According to news reporting origina ting from Lanzhou, People’s Republic of China, by NewsRx correspondents, researc h stated, “The influence maximization problem that has drawn a great deal of att ention from researchers aims to identify a subset of influential spreaders that can maximize the expected influence spread in social networks. Existing works on the problem primarily concentrate on developing non-adaptive policies, where al l seeds will be ignited at the very beginning of the diffusion after the identif ication.”

Key words

Lanzhou/People’s Republic of China/Asi a/Intelligent Systems/Machine Learning/Lanzhou University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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