首页|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)
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)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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.”
LanzhouPeople’s Republic of ChinaAsi aIntelligent SystemsMachine LearningLanzhou University of Technology
NETL
NSTL
