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        <identifier>oai:figshare.com:article/31623694</identifier>
        <datestamp>2026-09-16T01:52:10Z</datestamp>
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          <dc:title>The data and codes that support the findings of the study entitled "&lt;b&gt;Pseudo-label-driven urban road grid pattern recognition with hierarchical feature fusion&lt;/b&gt;"</dc:title>
          <dc:creator>Can Xu (23406103)</dc:creator>
          <dc:subject>Computational modelling and simulation in earth sciences</dc:subject>
          <dc:subject>Geoscience data visualisation</dc:subject>
          <dc:subject>grid pattern recognition</dc:subject>
          <dc:subject>multilevel cognition</dc:subject>
          <dc:subject>pseudo-labeling</dc:subject>
          <dc:subject>weakly supervised learning</dc:subject>
          <dc:subject>graph neural networks (GNN)</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This paper presents a method for recognizing urban road grid patterns based on pseudo-labels and hierarchical features fusion.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-16T01:52:10Z</dc:date>
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