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docs/diffusion/stable_diffusion/sampler/ddpm.html

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<div class="highlight"><pre><span class="lineno">71</span> <span class="bp">self</span><span class="o">.</span><span class="n">sqrt_1m_alpha_bar</span> <span class="o">=</span> <span class="n">alpha_bar</span> <span class="o">**</span> <span class="mf">.5</span></pre></div>
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<div class="highlight"><pre><span class="lineno">71</span> <span class="bp">self</span><span class="o">.</span><span class="n">sqrt_1m_alpha_bar</span> <span class="o">=</span> <span class="p">(</span><span class="mf">1.</span> <span class="o">-</span> <span class="n">alpha_bar</span><span class="p">)</span> <span class="o">**</span> <span class="mf">.5</span></pre></div>
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docs/graphs/gat/experiment.html

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<h2><a href="https://linqs.soe.ucsc.edu/data">Cora Dataset</a></h2>
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<p>Cora dataset is a dataset of research papers. For each paper we are given a binary feature vector that indicates the presence of words. Each paper is classified into one of 7 classes. The dataset also has the citation network.</p>
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<p>The papers are the nodes of the graph and the edges are the citations.</p>
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<p>The task is to classify the edges to the 7 classes with feature vectors and citation network as input.</p>
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<p>The task is to classify the nodes to the 7 classes with feature vectors and citation network as input.</p>
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docs/sitemap.xml

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