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    <responseDate>2026-10-13T17:01:58Z</responseDate>
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    <identifier>10.57760/sciencedb.j00133.00629</identifier>
    <datestamp>2026-01-04T16:10:10Z</datestamp>
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  <dc:date>2026-01-04</dc:date>
  <dc:title>Dataset for Research on Technology Convergence Trends Based on Hypernetwork</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00133.00629</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This study focuses on patent data, sourced from the IncoPat patent database. The main processes and results are as follows:Technical Lifecycle Fitting Results.xlsx: Contains the cumulative number of patent applications, the fitting results of the Logistic model, and related parameters.Patent Dataset: Contains three preprocessed effective patent datasets for subsequent analysis.Hypernetwork Data: Contains the hypernetwork construction results for three stages.Convergence Feature Analysis: Contains the convergence feature measurements and analysis results at three levels: the overall hypernetwork, hyperedges, and nodes.Potential Convergence Relationship Mining: Contains the results of initial feature construction for nodes, hypernetwork node embeddings, similarity calculations, evaluation results of the mining effect, and the identification of high-value potential convergence directions.</dc:description>
  <dc:subject>Technology convergence; Hypernetwork; Hypergraph neural network</dc:subject>
  <dc:creator>qiu han qi</dc:creator>
  <dc:creator>Chen Wei</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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