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    <responseDate>2026-10-12T07:33:26Z</responseDate>
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    <identifier>10.57760/sciencedb.j00133.00392</identifier>
    <datestamp>2024-01-04T16:06:48Z</datestamp>
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  <dc:date>2024-01-04</dc:date>
  <dc:title>Dataset for An Approach to Identify Technological Evolution Paths: Integrate Graph Embedding and Path Analysis</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00133.00392</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>In the research paper &amp;quot;A Technology Evolution Path Identification Method: Integrating Graph Embedding and Path Analysis&amp;quot;, the dataset used in the case study consists of five parts.UAV flight control technology patent data. This dataset contains 806 patents (time up to September 2023).UAV flight control technology patent citation data. The dataset collects 6525 patents.Patent citation network and patent type data. The data used to construct the patent citation network is collected in this data set, and the technology category of the patent is given.Patent abstracts text  BERT vector data. This data collects patent abstract vectors obtained from BERT model training in our study, with 768 dimensions and a total of 6525.Patent vector data from our PatGraph model. This dataset collects the patent vector data obtained using the PatGraph model in our study, totaling 6525 patents, which is used to visualize the results through dimensionality reduction.</dc:description>
  <dc:subject>UAV flight control technology patent data; UAV flight control technology patent citation data; Patent citation network data; Patent abstracts text  BERT vector data; Patent vector data from our PatGraph model.</dc:subject>
  <dc:creator>zhai liang</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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