1.0라이브스마트https://atmokpo.com/wroothttps://atmokpo.com/w/author/root/Deep Learning PyTorch Course, Graph Neural Networks - 라이브스마트rich600338<blockquote class="wp-embedded-content" data-secret="V1Dp0R8l9K"><a href="https://atmokpo.com/w/36527/">Deep Learning PyTorch Course, Graph Neural Networks</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://atmokpo.com/w/36527/embed/#?secret=V1Dp0R8l9K" width="600" height="338" title="“Deep Learning PyTorch Course, Graph Neural Networks” — 라이브스마트" data-secret="V1Dp0R8l9K" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script>
/*! This file is auto-generated */
!function(d,l){"use strict";l.querySelector&&d.addEventListener&&"undefined"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!/[^a-zA-Z0-9]/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret="'+t.secret+'"]'),o=l.querySelectorAll('blockquote[data-secret="'+t.secret+'"]'),c=new RegExp("^https?:$","i"),i=0;i<o.length;i++)o[i].style.display="none";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute("style"),"height"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):"link"===t.message&&(r=new URL(s.getAttribute("src")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener("message",d.wp.receiveEmbedMessage,!1),l.addEventListener("DOMContentLoaded",function(){for(var e,t,s=l.querySelectorAll("iframe.wp-embedded-content"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute("data-secret"))||(t=Math.random().toString(36).substring(2,12),e.src+="#?secret="+t,e.setAttribute("data-secret",t)),e.contentWindow.postMessage({message:"ready",secret:t},"*")},!1)))}(window,document);
//# sourceURL=https://atmokpo.com/w/wp-includes/js/wp-embed.min.js
</script>
Table of Contents 1. Introduction 2. Overview of Graph Neural Networks (GNN) 3. Applications of Graph Neural Networks 4. Implementing GNN in PyTorch 5. Conclusion 6. Further Reading 1. Introduction In recent years, the field of deep learning has rapidly advanced due to various new research and technological developments. Among them, Graph Neural Networks (GNN) … 더 보기 ""