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A Multi-Aspect Neural Tensor Factorization Framework for Patent Litigation Prediction
16 references·0 citing·53 second hop
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References

  • 2001Characteristics of Patent Litigation: A Window on Competition858 cited
  • 2004Uncovering GPTS with Patent Data194 cited
  • 2018DeepPatent: patent classification with convolutional neural networks and word embedding183 cited
  • 2021A survey on deep learning for patent analysis137 cited
  • 2016The growing problem of patent trolling127 cited
  • 2019Patent Value Analysis Using Deep Learning Models—The Case of IoT Technology Mining for the Manufacturing Industry98 cited
  • 2018Who's Suing Us? Decoding Patent Plaintiffs since 2000 with the Stanford NPE Litigation Dataset74 cited
  • 2022Two-stage technology opportunity discovery for firm-level decision making: GCN-based link-prediction approach67 cited
  • 2017Automated Patent Classification Using Word Embedding59 cited
  • 2021Do firms profit from patent litigation? The contingent roles of diversification and intangible assets54 cited
  • 2015Attack or Defend? The Role of Institutional Context on Patent Litigation Strategies51 cited
  • 2004Determinants of Patent Litigation in Germany50 cited
  • 2021An approach for discovering firm-specific technology opportunities: Application of link prediction to F-term networks48 cited
  • 2018Patent Litigation Prediction: A Convolutional Tensor Factorization Approach36 cited

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  • 2017Patent Examination Quality and Litigation: Is There a Link?33 cited
  • 2022Patent landscape and key technology interaction roadmap using graph convolutional network – Case of mobile communication technologies beyond 5G21 cited
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