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Core patent forecasting based on graph neural networks with an application in stock markets
16 references·2 citing·50 second hop
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References

  • 2001Recombinant Uncertainty in Technological Search2,891 cited
  • 2006Forecasting emerging technologies: Use of bibliometrics and patent analysis1,096 cited
  • 2003Patent information for strategic technology management706 cited
  • 2020COVID–19’s Impact on Stock Prices Across Different Sectors—An Event Study Based on the Chinese Stock Market643 cited
  • 2008A great wall of patents: What is behind China's recent patent explosion?613 cited
  • 2016Measuring technological novelty with patent-based indicators458 cited
  • 2000From Experience: Harnessing Tacit Knowledge to Achieve Breakthrough Innovation429 cited
  • 2011Behind the recent surge of Chinese patenting: An institutional view386 cited
  • 2001Implementing radical innovation in mature firms: The role of hubs368 cited
  • 2017Early identification of emerging technologies: A machine learning approach using multiple patent indicators230 cited
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  • 2006Academic versus industry patenting: An in-depth analysis of what determines patent value184 cited
  • 2014Technology familiarity, recombinant novelty, and breakthrough invention174 cited
  • 2016A patent quality analysis and classification system using self-organizing maps with support vector machine91 cited

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  • 2020Early detection of valuable patents using a deep learning model: Case of semiconductor industry83 cited
  • 2019A novelty detection patent mining approach for analyzing technological opportunities82 cited
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    • 2024An exploration method for technology forecasting that combines link prediction with graph embedding: A case study on blockchain18 cited
    • 2024Robust Networks, Pivotal Patents: Identifying and Assessing Key Technological Influencers7 cited