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diff --git a/archives.rf/index.html b/archives.rf/index.html
@@ -191,11 +191,31 @@
   <h1>Archive</h1>
 </header>
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-  <h2 class="archive-year-header">2024<sup class="archive-count">&nbsp;&nbsp;25</sup>
+  <h2 class="archive-year-header">2024<sup class="archive-count">&nbsp;&nbsp;26</sup>
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   <div class="archive-month">
-    <h3 class="archive-month-header">August<sup class="archive-count">&nbsp;&nbsp;6</sup></h3>
+    <h3 class="archive-month-header">August<sup class="archive-count">&nbsp;&nbsp;7</sup></h3>
     <div class="archive-posts">
+      <div class="archive-entry">
+        <h3 class="archive-entry-title">D2L&ndash;第十一及十二章优化算法&amp;多GPU并行
+        </h3>
+        <div class="archive-meta">
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+Create:&nbsp;<span title='2024-08-24 00:00:00 +0000 UTC'>2024-08-24</span>&nbsp;|&nbsp;Update:&nbsp;2024-08-24&nbsp;|&nbsp;Words:&nbsp;4817&nbsp;|&nbsp;10 min&nbsp;|&nbsp;Lishensuo</div>
+        <a class="entry-link" aria-label="post link to D2L--第十一及十二章优化算法&amp;多GPU并行" href="https://lishensuo.github.io/posts/bioinfo/715d2l-%E7%AC%AC%E5%8D%81%E4%B8%80%E5%8F%8A%E5%8D%81%E4%BA%8C%E7%AB%A0%E4%BC%98%E5%8C%96%E7%AE%97%E6%B3%95%E5%A4%9Agpu%E5%B9%B6%E8%A1%8C/"></a>
+      </div>
       <div class="archive-entry">
         <h3 class="archive-entry-title">D2L&ndash;第十章注意力机制
         </h3>
@@ -213,11 +233,11 @@ <h3 class="archive-entry-title">D2L&ndash;第十章注意力机制
 
 
 
-Create:&nbsp;<span title='2024-08-17 00:00:00 +0000 UTC'>2024-08-17</span>&nbsp;|&nbsp;Update:&nbsp;2024-08-17&nbsp;|&nbsp;Words:&nbsp;10662&nbsp;|&nbsp;22 min&nbsp;|&nbsp;Lishensuo</div>
+Create:&nbsp;<span title='2024-08-17 00:00:00 +0000 UTC'>2024-08-17</span>&nbsp;|&nbsp;Update:&nbsp;2024-08-17&nbsp;|&nbsp;Words:&nbsp;10697&nbsp;|&nbsp;22 min&nbsp;|&nbsp;Lishensuo</div>
         <a class="entry-link" aria-label="post link to D2L--第十章注意力机制" href="https://lishensuo.github.io/posts/bioinfo/713d2l-%E7%AC%AC%E5%8D%81%E7%AB%A0%E6%B3%A8%E6%84%8F%E5%8A%9B%E6%9C%BA%E5%88%B6/"></a>
       </div>
       <div class="archive-entry">
-        <h3 class="archive-entry-title">D2L&ndash;第十一章BERT模型
+        <h3 class="archive-entry-title">D2L&ndash;第十四及十五章BERT模型
         </h3>
         <div class="archive-meta">
 
@@ -234,7 +254,7 @@ <h3 class="archive-entry-title">D2L&ndash;第十一章BERT模型
 
 
 Create:&nbsp;<span title='2024-08-17 00:00:00 +0000 UTC'>2024-08-17</span>&nbsp;|&nbsp;Update:&nbsp;2024-08-17&nbsp;|&nbsp;Words:&nbsp;6808&nbsp;|&nbsp;14 min&nbsp;|&nbsp;Lishensuo</div>
-        <a class="entry-link" aria-label="post link to D2L--第十一章BERT模型" href="https://lishensuo.github.io/posts/bioinfo/714d2l-%E7%AC%AC%E5%8D%81%E4%B8%80%E7%AB%A0bert%E6%A8%A1%E5%9E%8B/"></a>
+        <a class="entry-link" aria-label="post link to D2L--第十四及十五章BERT模型" href="https://lishensuo.github.io/posts/bioinfo/714d2l-%E7%AC%AC%E5%8D%81%E5%9B%9B%E5%8F%8A%E5%8D%81%E4%BA%94%E7%AB%A0bert%E6%A8%A1%E5%9E%8B/"></a>
       </div>
       <div class="archive-entry">
         <h3 class="archive-entry-title">D2L&ndash;第八章循环神经网络

diff --git a/archives/index.html b/archives/index.html
@@ -191,11 +191,31 @@
   <h1>Archive</h1>
 </header>
 <div class="archive-year">
-  <h2 class="archive-year-header">2024<sup class="archive-count">&nbsp;&nbsp;25</sup>
+  <h2 class="archive-year-header">2024<sup class="archive-count">&nbsp;&nbsp;26</sup>
   </h2>
   <div class="archive-month">
-    <h3 class="archive-month-header">August<sup class="archive-count">&nbsp;&nbsp;6</sup></h3>
+    <h3 class="archive-month-header">August<sup class="archive-count">&nbsp;&nbsp;7</sup></h3>
     <div class="archive-posts">
+      <div class="archive-entry">
+        <h3 class="archive-entry-title">D2L&ndash;第十一及十二章优化算法&amp;多GPU并行
+        </h3>
+        <div class="archive-meta">
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+Create:&nbsp;<span title='2024-08-24 00:00:00 +0000 UTC'>2024-08-24</span>&nbsp;|&nbsp;Update:&nbsp;2024-08-24&nbsp;|&nbsp;Words:&nbsp;4817&nbsp;|&nbsp;10 min&nbsp;|&nbsp;Lishensuo</div>
+        <a class="entry-link" aria-label="post link to D2L--第十一及十二章优化算法&amp;多GPU并行" href="https://lishensuo.github.io/posts/bioinfo/715d2l-%E7%AC%AC%E5%8D%81%E4%B8%80%E5%8F%8A%E5%8D%81%E4%BA%8C%E7%AB%A0%E4%BC%98%E5%8C%96%E7%AE%97%E6%B3%95%E5%A4%9Agpu%E5%B9%B6%E8%A1%8C/"></a>
+      </div>
       <div class="archive-entry">
         <h3 class="archive-entry-title">D2L&ndash;第十章注意力机制
         </h3>
@@ -213,11 +233,11 @@ <h3 class="archive-entry-title">D2L&ndash;第十章注意力机制
 
 
 
-Create:&nbsp;<span title='2024-08-17 00:00:00 +0000 UTC'>2024-08-17</span>&nbsp;|&nbsp;Update:&nbsp;2024-08-17&nbsp;|&nbsp;Words:&nbsp;10662&nbsp;|&nbsp;22 min&nbsp;|&nbsp;Lishensuo</div>
+Create:&nbsp;<span title='2024-08-17 00:00:00 +0000 UTC'>2024-08-17</span>&nbsp;|&nbsp;Update:&nbsp;2024-08-17&nbsp;|&nbsp;Words:&nbsp;10697&nbsp;|&nbsp;22 min&nbsp;|&nbsp;Lishensuo</div>
         <a class="entry-link" aria-label="post link to D2L--第十章注意力机制" href="https://lishensuo.github.io/posts/bioinfo/713d2l-%E7%AC%AC%E5%8D%81%E7%AB%A0%E6%B3%A8%E6%84%8F%E5%8A%9B%E6%9C%BA%E5%88%B6/"></a>
       </div>
       <div class="archive-entry">
-        <h3 class="archive-entry-title">D2L&ndash;第十一章BERT模型
+        <h3 class="archive-entry-title">D2L&ndash;第十四及十五章BERT模型
         </h3>
         <div class="archive-meta">
 
@@ -234,7 +254,7 @@ <h3 class="archive-entry-title">D2L&ndash;第十一章BERT模型
 
 
 Create:&nbsp;<span title='2024-08-17 00:00:00 +0000 UTC'>2024-08-17</span>&nbsp;|&nbsp;Update:&nbsp;2024-08-17&nbsp;|&nbsp;Words:&nbsp;6808&nbsp;|&nbsp;14 min&nbsp;|&nbsp;Lishensuo</div>
-        <a class="entry-link" aria-label="post link to D2L--第十一章BERT模型" href="https://lishensuo.github.io/posts/bioinfo/714d2l-%E7%AC%AC%E5%8D%81%E4%B8%80%E7%AB%A0bert%E6%A8%A1%E5%9E%8B/"></a>
+        <a class="entry-link" aria-label="post link to D2L--第十四及十五章BERT模型" href="https://lishensuo.github.io/posts/bioinfo/714d2l-%E7%AC%AC%E5%8D%81%E5%9B%9B%E5%8F%8A%E5%8D%81%E4%BA%94%E7%AB%A0bert%E6%A8%A1%E5%9E%8B/"></a>
       </div>
       <div class="archive-entry">
         <h3 class="archive-entry-title">D2L&ndash;第八章循环神经网络

diff --git a/index.json b/index.json
diff --git a/index.xml b/index.xml
@@ -6,7 +6,7 @@
     <description>Recent content on Li&#39;s Bioinfo-Blog</description>
     <generator>Hugo -- gohugo.io</generator>
     <language>zh-cn</language>
-    <lastBuildDate>Sat, 17 Aug 2024 00:00:00 +0000</lastBuildDate><atom:link href="https://lishensuo.github.io/index.xml" rel="self" type="application/rss+xml" />
+    <lastBuildDate>Sat, 24 Aug 2024 00:00:00 +0000</lastBuildDate><atom:link href="https://lishensuo.github.io/index.xml" rel="self" type="application/rss+xml" />
     <item>
       <title>统计学基础--统计描述指标与常见统计分布</title>
       <link>https://lishensuo.github.io/posts/basic/001%E7%BB%9F%E8%AE%A1%E5%AD%A6%E5%9F%BA%E7%A1%80--%E7%BB%9F%E8%AE%A1%E6%8F%8F%E8%BF%B0%E6%8C%87%E6%A0%87%E4%B8%8E%E5%B8%B8%E8%A7%81%E7%BB%9F%E8%AE%A1%E5%88%86%E5%B8%83/</link>
@@ -1979,14 +1979,23 @@
     </item>
 
     <item>
-      <title>D2L--第十一章BERT模型</title>
-      <link>https://lishensuo.github.io/posts/bioinfo/714d2l-%E7%AC%AC%E5%8D%81%E4%B8%80%E7%AB%A0bert%E6%A8%A1%E5%9E%8B/</link>
+      <title>D2L--第十四及十五章BERT模型</title>
+      <link>https://lishensuo.github.io/posts/bioinfo/714d2l-%E7%AC%AC%E5%8D%81%E5%9B%9B%E5%8F%8A%E5%8D%81%E4%BA%94%E7%AB%A0bert%E6%A8%A1%E5%9E%8B/</link>
       <pubDate>Sat, 17 Aug 2024 00:00:00 +0000</pubDate>
 
-      <guid>https://lishensuo.github.io/posts/bioinfo/714d2l-%E7%AC%AC%E5%8D%81%E4%B8%80%E7%AB%A0bert%E6%A8%A1%E5%9E%8B/</guid>
+      <guid>https://lishensuo.github.io/posts/bioinfo/714d2l-%E7%AC%AC%E5%8D%81%E5%9B%9B%E5%8F%8A%E5%8D%81%E4%BA%94%E7%AB%A0bert%E6%A8%A1%E5%9E%8B/</guid>
       <description>1. 基础介绍 BERT（来自Transformers的双向编码器表示）基于Transformer编码器进行预训练(Pre-train)，从而对输</description>
     </item>
 
+    <item>
+      <title>D2L--第十一及十二章优化算法&amp;多GPU并行</title>
+      <link>https://lishensuo.github.io/posts/bioinfo/715d2l-%E7%AC%AC%E5%8D%81%E4%B8%80%E5%8F%8A%E5%8D%81%E4%BA%8C%E7%AB%A0%E4%BC%98%E5%8C%96%E7%AE%97%E6%B3%95%E5%A4%9Agpu%E5%B9%B6%E8%A1%8C/</link>
+      <pubDate>Sat, 24 Aug 2024 00:00:00 +0000</pubDate>
+
+      <guid>https://lishensuo.github.io/posts/bioinfo/715d2l-%E7%AC%AC%E5%8D%81%E4%B8%80%E5%8F%8A%E5%8D%81%E4%BA%8C%E7%AB%A0%E4%BC%98%E5%8C%96%E7%AE%97%E6%B3%95%E5%A4%9Agpu%E5%B9%B6%E8%A1%8C/</guid>
+      <description>在深度学习中，优化算法是训练模型的关键部分，它们用于更新网络的参数以最小化损失函数。 由于优化算法的目标函数通常是基于训练数据集的损失函数，因</description>
+    </item>
+
     <item>
       <title>图神经网络DGL-01-DGL基础</title>
       <link>https://lishensuo.github.io/posts/bioinfo/801%E5%9B%BE%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9Cdgl-01dgl%E5%9F%BA%E7%A1%80/</link>

diff --git a/posts/bioinfo/713d2l-第十章注意力机制/index.html b/posts/bioinfo/713d2l-第十章注意力机制/index.html
diff --git a/posts/bioinfo/714d2l-第十四及十五章bert模型/index.html b/posts/bioinfo/714d2l-第十四及十五章bert模型/index.html
diff --git a/posts/bioinfo/715d2l-第十一及十二章优化算法多gpu并行/index.html b/posts/bioinfo/715d2l-第十一及十二章优化算法多gpu并行/index.html
diff --git a/posts/bioinfo/801图神经网络dgl-01dgl基础/index.html b/posts/bioinfo/801图神经网络dgl-01dgl基础/index.html
@@ -731,10 +731,10 @@ <h3 id="32-sampler与batch模式">3.2 sampler与batch模式<a hidden class="anch
       <li><a href="https://lishensuo.github.io/tags/%E5%9B%BE%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/">图神经网络</a></li>
     </ul>
 <nav class="paginav">
-  <a class="prev" href="https://lishensuo.github.io/posts/bioinfo/714d2l-%E7%AC%AC%E5%8D%81%E4%B8%80%E7%AB%A0bert%E6%A8%A1%E5%9E%8B/">
+  <a class="prev" href="https://lishensuo.github.io/posts/bioinfo/715d2l-%E7%AC%AC%E5%8D%81%E4%B8%80%E5%8F%8A%E5%8D%81%E4%BA%8C%E7%AB%A0%E4%BC%98%E5%8C%96%E7%AE%97%E6%B3%95%E5%A4%9Agpu%E5%B9%B6%E8%A1%8C/">
     <span class="title">« Prev Page</span>
     <br>
-    <span>D2L--第十一章BERT模型</span>
+    <span>D2L--第十一及十二章优化算法&amp;多GPU并行</span>
   </a>
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diff --git a/posts/bioinfo/index.xml b/posts/bioinfo/index.xml
@@ -6,7 +6,7 @@
     <description>Recent content in 📖 生信数据分析--分析流程，工具包等 on Li&#39;s Bioinfo-Blog</description>
     <generator>Hugo -- gohugo.io</generator>
     <language>zh-cn</language>
-    <lastBuildDate>Sat, 17 Aug 2024 00:00:00 +0000</lastBuildDate><atom:link href="https://lishensuo.github.io/posts/bioinfo/index.xml" rel="self" type="application/rss+xml" />
+    <lastBuildDate>Sat, 24 Aug 2024 00:00:00 +0000</lastBuildDate><atom:link href="https://lishensuo.github.io/posts/bioinfo/index.xml" rel="self" type="application/rss+xml" />
     <item>
       <title>conda环境下载管理软件、R包</title>
       <link>https://lishensuo.github.io/posts/bioinfo/002conda%E7%8E%AF%E5%A2%83%E4%B8%8B%E8%BD%BD%E7%AE%A1%E7%90%86%E8%BD%AF%E4%BB%B6r%E5%8C%85/</link>
@@ -980,14 +980,23 @@
     </item>
 
     <item>
-      <title>D2L--第十一章BERT模型</title>
-      <link>https://lishensuo.github.io/posts/bioinfo/714d2l-%E7%AC%AC%E5%8D%81%E4%B8%80%E7%AB%A0bert%E6%A8%A1%E5%9E%8B/</link>
+      <title>D2L--第十四及十五章BERT模型</title>
+      <link>https://lishensuo.github.io/posts/bioinfo/714d2l-%E7%AC%AC%E5%8D%81%E5%9B%9B%E5%8F%8A%E5%8D%81%E4%BA%94%E7%AB%A0bert%E6%A8%A1%E5%9E%8B/</link>
       <pubDate>Sat, 17 Aug 2024 00:00:00 +0000</pubDate>
 
-      <guid>https://lishensuo.github.io/posts/bioinfo/714d2l-%E7%AC%AC%E5%8D%81%E4%B8%80%E7%AB%A0bert%E6%A8%A1%E5%9E%8B/</guid>
+      <guid>https://lishensuo.github.io/posts/bioinfo/714d2l-%E7%AC%AC%E5%8D%81%E5%9B%9B%E5%8F%8A%E5%8D%81%E4%BA%94%E7%AB%A0bert%E6%A8%A1%E5%9E%8B/</guid>
       <description>1. 基础介绍 BERT（来自Transformers的双向编码器表示）基于Transformer编码器进行预训练(Pre-train)，从而对输</description>
     </item>
 
+    <item>
+      <title>D2L--第十一及十二章优化算法&amp;多GPU并行</title>
+      <link>https://lishensuo.github.io/posts/bioinfo/715d2l-%E7%AC%AC%E5%8D%81%E4%B8%80%E5%8F%8A%E5%8D%81%E4%BA%8C%E7%AB%A0%E4%BC%98%E5%8C%96%E7%AE%97%E6%B3%95%E5%A4%9Agpu%E5%B9%B6%E8%A1%8C/</link>
+      <pubDate>Sat, 24 Aug 2024 00:00:00 +0000</pubDate>
+
+      <guid>https://lishensuo.github.io/posts/bioinfo/715d2l-%E7%AC%AC%E5%8D%81%E4%B8%80%E5%8F%8A%E5%8D%81%E4%BA%8C%E7%AB%A0%E4%BC%98%E5%8C%96%E7%AE%97%E6%B3%95%E5%A4%9Agpu%E5%B9%B6%E8%A1%8C/</guid>
+      <description>在深度学习中，优化算法是训练模型的关键部分，它们用于更新网络的参数以最小化损失函数。 由于优化算法的目标函数通常是基于训练数据集的损失函数，因</description>
+    </item>
+
     <item>
       <title>图神经网络DGL-01-DGL基础</title>
       <link>https://lishensuo.github.io/posts/bioinfo/801%E5%9B%BE%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9Cdgl-01dgl%E5%9F%BA%E7%A1%80/</link>

diff --git a/posts/bioinfo/page/11/index.html b/posts/bioinfo/page/11/index.html
@@ -417,7 +417,7 @@ <h2>D2L--第十章注意力机制
 
 
 
-Create:&nbsp;<span title='2024-08-17 00:00:00 +0000 UTC'>2024-08-17</span>&nbsp;|&nbsp;Update:&nbsp;2024-08-17&nbsp;|&nbsp;Words:&nbsp;10662&nbsp;|&nbsp;22 min&nbsp;|&nbsp;Lishensuo</footer>
+Create:&nbsp;<span title='2024-08-17 00:00:00 +0000 UTC'>2024-08-17</span>&nbsp;|&nbsp;Update:&nbsp;2024-08-17&nbsp;|&nbsp;Words:&nbsp;10697&nbsp;|&nbsp;22 min&nbsp;|&nbsp;Lishensuo</footer>
 	</div>   
   <a class="entry-link" aria-label="post link to D2L--第十章注意力机制" href="https://lishensuo.github.io/posts/bioinfo/713d2l-%E7%AC%AC%E5%8D%81%E7%AB%A0%E6%B3%A8%E6%84%8F%E5%8A%9B%E6%9C%BA%E5%88%B6/"></a>
 </article>
@@ -429,7 +429,7 @@ <h2>D2L--第十章注意力机制
 <article class="post-entry">
 	<div class="post-info">  
 		<header class="entry-header">
-			<h2>D2L--第十一章BERT模型
+			<h2>D2L--第十四及十五章BERT模型
 			</h2>
 		</header>
 		<section class="entry-content">
@@ -451,7 +451,7 @@ <h2>D2L--第十一章BERT模型
 
 Create:&nbsp;<span title='2024-08-17 00:00:00 +0000 UTC'>2024-08-17</span>&nbsp;|&nbsp;Update:&nbsp;2024-08-17&nbsp;|&nbsp;Words:&nbsp;6808&nbsp;|&nbsp;14 min&nbsp;|&nbsp;Lishensuo</footer>
 	</div>   
-  <a class="entry-link" aria-label="post link to D2L--第十一章BERT模型" href="https://lishensuo.github.io/posts/bioinfo/714d2l-%E7%AC%AC%E5%8D%81%E4%B8%80%E7%AB%A0bert%E6%A8%A1%E5%9E%8B/"></a>
+  <a class="entry-link" aria-label="post link to D2L--第十四及十五章BERT模型" href="https://lishensuo.github.io/posts/bioinfo/714d2l-%E7%AC%AC%E5%8D%81%E5%9B%9B%E5%8F%8A%E5%8D%81%E4%BA%94%E7%AB%A0bert%E6%A8%A1%E5%9E%8B/"></a>
 </article>
 
 
@@ -461,11 +461,11 @@ <h2>D2L--第十一章BERT模型
 <article class="post-entry">
 	<div class="post-info">  
 		<header class="entry-header">
-			<h2>图神经网络DGL-01-DGL基础
+			<h2>D2L--第十一及十二章优化算法&amp;多GPU并行
 			</h2>
 		</header>
 		<section class="entry-content">
-			<p>homogeneous graph ： 一种节点，一种边 heterogeneous graph: 多种节点，多种边 bipartite graph : 两种节点，一种边 1、DGLgraph结构 1.1 同构图 Cora论文关系图–同构图(ho...</p>
+			<p>在深度学习中，优化算法是训练模型的关键部分，它们用于更新网络的参数以最小化损失函数。 由于优化算法的目标函数通常是基于训练数据集的损失函数，因...</p>
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@@ -481,9 +481,9 @@ <h2>图神经网络DGL-01-DGL基础
 
 
 
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+Create:&nbsp;<span title='2024-08-24 00:00:00 +0000 UTC'>2024-08-24</span>&nbsp;|&nbsp;Update:&nbsp;2024-08-24&nbsp;|&nbsp;Words:&nbsp;4817&nbsp;|&nbsp;10 min&nbsp;|&nbsp;Lishensuo</footer>
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+  <a class="entry-link" aria-label="post link to D2L--第十一及十二章优化算法&amp;多GPU并行" href="https://lishensuo.github.io/posts/bioinfo/715d2l-%E7%AC%AC%E5%8D%81%E4%B8%80%E5%8F%8A%E5%8D%81%E4%BA%8C%E7%AB%A0%E4%BC%98%E5%8C%96%E7%AE%97%E6%B3%95%E5%A4%9Agpu%E5%B9%B6%E8%A1%8C/"></a>
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@@ -170,6 +170,38 @@ <h1>📖 生信数据分析--分析流程，工具包等</h1>
 
 
 
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+	<div class="post-info">  
+		<header class="entry-header">
+			<h2>图神经网络DGL-01-DGL基础
+			</h2>
+		</header>
+		<section class="entry-content">
+			<p>homogeneous graph ： 一种节点，一种边 heterogeneous graph: 多种节点，多种边 bipartite graph : 两种节点，一种边 1、DGLgraph结构 1.1 同构图 Cora论文关系图–同构图(ho...</p>
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+Create:&nbsp;<span title='2022-07-31 00:00:00 +0000 UTC'>2022-07-31</span>&nbsp;|&nbsp;Update:&nbsp;2022-07-31&nbsp;|&nbsp;Words:&nbsp;1335&nbsp;|&nbsp;3 min&nbsp;|&nbsp;Lishensuo</footer>
+	</div>   
+  <a class="entry-link" aria-label="post link to 图神经网络DGL-01-DGL基础" href="https://lishensuo.github.io/posts/bioinfo/801%E5%9B%BE%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9Cdgl-01dgl%E5%9F%BA%E7%A1%80/"></a>
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diff --git a/posts/index.xml b/posts/index.xml
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