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[release] update install cmd #94

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May 11, 2024
Merged

[release] update install cmd #94

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2 changes: 1 addition & 1 deletion feed.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.xml" rel="self" type="application/atom+xml" /><link href="https://www.dgl.ai/" rel="alternate" type="text/html" /><updated>2024-05-08T06:42:47+00:00</updated><id>https://www.dgl.ai/feed.xml</id><title type="html">Deep Graph Library</title><subtitle>Easy Deep Learning on Graphs</subtitle><entry><title type="html">DGL 2.1: GPU Acceleration for Your GNN Data Pipeline</title><link href="https://www.dgl.ai/release/2024/03/06/release.html" rel="alternate" type="text/html" title="DGL 2.1: GPU Acceleration for Your GNN Data Pipeline" /><published>2024-03-06T00:00:00+00:00</published><updated>2024-03-06T00:00:00+00:00</updated><id>https://www.dgl.ai/release/2024/03/06/release</id><content type="html" xml:base="https://www.dgl.ai/release/2024/03/06/release.html">&lt;p&gt;We are happy to announce the release of DGL 2.1. In this release, we are making
<?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.xml" rel="self" type="application/atom+xml" /><link href="https://www.dgl.ai/" rel="alternate" type="text/html" /><updated>2024-05-11T00:54:20+00:00</updated><id>https://www.dgl.ai/feed.xml</id><title type="html">Deep Graph Library</title><subtitle>Easy Deep Learning on Graphs</subtitle><entry><title type="html">DGL 2.1: GPU Acceleration for Your GNN Data Pipeline</title><link href="https://www.dgl.ai/release/2024/03/06/release.html" rel="alternate" type="text/html" title="DGL 2.1: GPU Acceleration for Your GNN Data Pipeline" /><published>2024-03-06T00:00:00+00:00</published><updated>2024-03-06T00:00:00+00:00</updated><id>https://www.dgl.ai/release/2024/03/06/release</id><content type="html" xml:base="https://www.dgl.ai/release/2024/03/06/release.html">&lt;p&gt;We are happy to announce the release of DGL 2.1. In this release, we are making
GNN data loading lightning fast. We introduce GPU acceleration for the whole GNN
data loading pipeline in GraphBolt, including the graph sampling and feature
fetching stages.&lt;/p&gt;
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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>2024-05-08T06:42:47+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>2024-05-11T00:54:20+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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3 changes: 0 additions & 3 deletions jekyll/_includes/install_content.html
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Expand Up @@ -198,9 +198,6 @@ <h2 class="themeix-section-title text-center">Installation</h2>
},
computed: {
path_value: function () {
if (this.button_pytorch === '2.3.x') {
return "# `torchdata`(the key dependency of DGL) is not compatible with PyTorch 2.3.0. Please use PyTorch 2.2.x or 2.1.x instead."
}
if (this.button_os === 'Mac') {
var cmd = (this.button_pkg === 'Conda(Stable)') ? conda_path('None', this.button_os, this.button_pytorch) : "pip install dgl -f https://data.dgl.ai/wheels/repo.html";
if (this.button_pkg === 'Pip(Nightly Build)') {
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3 changes: 0 additions & 3 deletions pages/start.html
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Expand Up @@ -669,9 +669,6 @@ <h2 id="using-dgl-with-sagemaker">Using DGL with SageMaker</h2>
},
computed: {
path_value: function () {
if (this.button_pytorch === '2.3.x') {
return "# `torchdata`(the key dependency of DGL) is not compatible with PyTorch 2.3.0. Please use PyTorch 2.2.x or 2.1.x instead."
}
if (this.button_os === 'Mac') {
var cmd = (this.button_pkg === 'Conda(Stable)') ? conda_path('None', this.button_os, this.button_pytorch) : "pip install dgl -f https://data.dgl.ai/wheels/repo.html";
if (this.button_pkg === 'Pip(Nightly Build)') {
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