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220 changes: 201 additions & 19 deletions feed.xml

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2 changes: 1 addition & 1 deletion feed/blog.xml
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<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="3.5.2">Jekyll</generator><link href="https://www.dgl.ai/feed/blog.xml" rel="self" type="application/atom+xml" /><link href="https://www.dgl.ai/" rel="alternate" type="text/html" /><updated>2023-08-17T01:43:26+00:00</updated><id>https://www.dgl.ai/feed/blog.xml</id><title type="html">Deep Graph Library | Blog</title><subtitle>Easy Deep Learning on Graphs</subtitle><entry><title type="html">Improving Graph Neural Networks via Network-in-network Architecture</title><link href="https://www.dgl.ai/blog/2022/11/28/ngnn.html" rel="alternate" type="text/html" title="Improving Graph Neural Networks via Network-in-network Architecture" /><published>2022-11-28T00:00:00+00:00</published><updated>2022-11-28T00:00:00+00:00</updated><id>https://www.dgl.ai/blog/2022/11/28/ngnn</id><content type="html" xml:base="https://www.dgl.ai/blog/2022/11/28/ngnn.html">&lt;p&gt;As Graph Neural Networks (GNNs) has become increasingly popular, there is a
<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="3.5.2">Jekyll</generator><link href="https://www.dgl.ai/feed/blog.xml" rel="self" type="application/atom+xml" /><link href="https://www.dgl.ai/" rel="alternate" type="text/html" /><updated>2024-01-30T02:20:10+00:00</updated><id>https://www.dgl.ai/feed/blog.xml</id><title type="html">Deep Graph Library | Blog</title><subtitle>Easy Deep Learning on Graphs</subtitle><entry><title type="html">Improving Graph Neural Networks via Network-in-network Architecture</title><link href="https://www.dgl.ai/blog/2022/11/28/ngnn.html" rel="alternate" type="text/html" title="Improving Graph Neural Networks via Network-in-network Architecture" /><published>2022-11-28T00:00:00+00:00</published><updated>2022-11-28T00:00:00+00:00</updated><id>https://www.dgl.ai/blog/2022/11/28/ngnn</id><content type="html" xml:base="https://www.dgl.ai/blog/2022/11/28/ngnn.html">&lt;p&gt;As Graph Neural Networks (GNNs) has become increasingly popular, there is a
wide interest of designing deeper GNN architecture. However, deep GNNs suffer
from the &lt;em&gt;oversmoothing&lt;/em&gt; issue where the learnt node representations quickly
become indistinguishable with more layers. This blog features a simple yet
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27 changes: 14 additions & 13 deletions index.html
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<h4 class="themeix-blog-h"><a href="/release/2024/01/26/release.html">DGL 2.0: Streamlining Your GNN Data Pipeline from Bottleneck to Boost</a></h4>
<p>The arrival of DGL 2.0 marks a significant milestone in the field of GNNs,
offering substantial improvements in data loading capabilities.
</p>
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<h4 class="themeix-blog-h"><a href="/release/2023/02/20/release.html">DGL 1.0: Empowering Graph Machine Learning for Everyone</a></h4>
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<h4 class="themeix-blog-h"><a href="/release/2022/07/25/release.html">v0.9 Release Highlights</a></h4>
<p>Check out the highlighted features of the new 0.9 release!
</p>
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<h4 class="themeix-blog-h"><a href="/release/2022/05/31/release.html">May 2022 Update Note</a></h4>
<p>Check out the highlighted features of the new 0.8.2 release!
<h4 class="themeix-blog-h"><a href="/release/2022/07/25/release.html">v0.9 Release Highlights</a></h4>
<p>Check out the highlighted features of the new 0.9 release!
</p>
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<h4 class="themeix-blog-h"><a href="/release/2022/04/18/release.html">April 2022 Update Note</a></h4>
<p>Check out the highlighted features of the new 0.8.1 release!
<h4 class="themeix-blog-h"><a href="/release/2022/05/31/release.html">May 2022 Update Note</a></h4>
<p>Check out the highlighted features of the new 0.8.2 release!
</p>
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<h4 class="themeix-blog-h"><a href="/release/2022/03/01/release.html">v0.8 Release Highlights</a></h4>
<p>The new 0.8 release just hits the road. See the highlighted features!
<h4 class="themeix-blog-h"><a href="/release/2022/04/18/release.html">April 2022 Update Note</a></h4>
<p>Check out the highlighted features of the new 0.8.1 release!
</p>
<!--
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<a href="/release/2022/03/01/release.html"><img src="/assets/images/posts/2022-03-01-release/update-image.jpg" alt="blog-thumbnail"></a>
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<div class="single-news">
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<h4 class="themeix-blog-h"><a href="/release/2021/07/26/release.html">v0.7 Release Highlights</a></h4>
<p>Check out the new features in the latest DGL 0.7 release.
<h4 class="themeix-blog-h"><a href="/release/2022/03/01/release.html">v0.8 Release Highlights</a></h4>
<p>The new 0.8 release just hits the road. See the highlighted features!
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<div class="row">
<h4 class="themeix-blog-h"><a href="/release/2021/07/26/release.html">v0.7 Release Highlights</a></h4>
<p>Check out the new features in the latest DGL 0.7 release.
</p>
<!--
<div class="col-sm-6">
<a href="/release/2021/07/26/release.html"><img src="/assets/images/posts/2021-07-26-release/update-image.jpg" alt="blog-thumbnail"></a>
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<h4 class="themeix-blog-h"><a href="/release/2021/02/25/release.html">v0.6 Release Highlight</a></h4>
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<h4 class="themeix-blog-h"><a href="/release/2020/08/26/release.html">What is new in DGL v0.5 release?</a></h4>
<p>The recent DGL 0.5 release is a major update on many aspects of the project including documentation, APIs, system speed and scalability. This article highlights some of the new features...</p>
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<h4 class="themeix-blog-h"><a href="/release/2020/08/26/release.html">What is new in DGL v0.5 release?</a></h4>
<p>The recent DGL 0.5 release is a major update on many aspects of the project including documentation, APIs, system speed and scalability. This article highlights some of the new features...</p>
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<a href="/release/2020/08/26/release.html"><img src="/assets/images/release-blog-image.jpg" alt="blog-thumbnail"></a>
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<h4 class="themeix-blog-h"><a href="/news/2020/06/09/covid.html">Fighting COVID-19 with Deep Graph</a></h4>
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<h4 class="themeix-blog-h"><a href="/release/2019/10/08/release.html">DGL v0.4 Release (heterogeneous graph update)</a></h4>
<p>We are thrilled to announce the 0.4 release! This includes support of heterogeneous graphs, release of a package for training knowledge graph embedding and several feature updates and bug fixes....</p>
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<h4 class="themeix-blog-h"><a href="/release/2019/08/28/release.html">DGL v0.3.1 Release</a></h4>
<p>We have received many requests from our community for more GNN layers, models and examples. This is the time to respond. In this minor release, we enriched DGL with a...</p>
<h4 class="themeix-blog-h"><a href="/release/2019/10/08/release.html">DGL v0.4 Release (heterogeneous graph update)</a></h4>
<p>We are thrilled to announce the 0.4 release! This includes support of heterogeneous graphs, release of a package for training knowledge graph embedding and several feature updates and bug fixes....</p>
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<h4 class="themeix-blog-h"><a href="/blog/2019/06/13/giant.html">Large-Scale Training of Graph Neural Networks</a></h4>
<p>Many graph applications deal with giant scale. Social networks, recommendation and knowledge graphs have nodes and edges in the order of hundreds of millions or even billions of nodes. For...</p>
<h4 class="themeix-blog-h"><a href="/release/2019/08/28/release.html">DGL v0.3.1 Release</a></h4>
<p>We have received many requests from our community for more GNN layers, models and examples. This is the time to respond. In this minor release, we enriched DGL with a...</p>
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<h4 class="themeix-blog-h"><a href="/release/2019/06/12/release.html">DGL v0.3 Release</a></h4>
<p>V0.3 release includes many crucial updates. (1) Fused message passing kernels that greatly boost the training speed of GNNs on large graphs. (2) Add components to enable distributed training of...</p>
<h4 class="themeix-blog-h"><a href="/blog/2019/06/13/giant.html">Large-Scale Training of Graph Neural Networks</a></h4>
<p>Many graph applications deal with giant scale. Social networks, recommendation and knowledge graphs have nodes and edges in the order of hundreds of millions or even billions of nodes. For...</p>
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<a href="/release/2019/06/12/release.html"><img src="https://i.imgur.com/ZoP4A7A.jpg" alt="blog-thumbnail"></a>
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<h4 class="themeix-blog-h"><a href="/blog/2019/05/04/kernel.html">When Kernel Fusion meets Graph Neural Networks</a></h4>
<p>This blog describes fused message passing, the key technique enabling these performance improvements. We will address the following questions. (1) Why cannot basic message passing scale to large graphs? (2)...</p>
<h4 class="themeix-blog-h"><a href="/release/2019/06/12/release.html">DGL v0.3 Release</a></h4>
<p>V0.3 release includes many crucial updates. (1) Fused message passing kernels that greatly boost the training speed of GNNs on large graphs. (2) Add components to enable distributed training of...</p>
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<div class="container">
<div class="news-wrapper owl-carousel owl-theme">

<div class="single-news">
<div class="row">
<h4 class="themeix-blog-h"><a href="/blog/2019/05/04/kernel.html">When Kernel Fusion meets Graph Neural Networks</a></h4>
<p>This blog describes fused message passing, the key technique enabling these performance improvements. We will address the following questions. (1) Why cannot basic message passing scale to large graphs? (2)...</p>
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<a href="/blog/2019/05/04/kernel.html"><img src="https://i.imgur.com/JcnWxg2.jpg" alt="blog-thumbnail"></a>
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<h4 class="themeix-blog-h"><a href="/blog/2019/02/17/gat.html">Understand Graph Attention Network</a></h4>
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