{"version":"1.0","provider_name":"IPv4Chicken","provider_url":"https:\/\/ipv4chicken.com\/tech","author_name":"admin","author_url":"https:\/\/ipv4chicken.com\/tech\/author\/admin\/","title":"Graph Neural Networks (GNN) Explained With Use Cases - IPv4Chicken","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"zYFmvb2mCe\"><a href=\"https:\/\/ipv4chicken.com\/tech\/graph-neural-networks-gnn-explained-with-use-cases\/\">Graph Neural Networks (GNN) Explained With Use Cases<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/ipv4chicken.com\/tech\/graph-neural-networks-gnn-explained-with-use-cases\/embed\/#?secret=zYFmvb2mCe\" width=\"600\" height=\"338\" title=\"&#8220;Graph Neural Networks (GNN) Explained With Use Cases&#8221; &#8212; IPv4Chicken\" data-secret=\"zYFmvb2mCe\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!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);\n\/\/# sourceURL=https:\/\/ipv4chicken.com\/tech\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","description":"Graph Neural Networks (GNN) Explained With Use Cases Graph Neural Networks (GNNs) are a class of neural networks designed to work directly with graph-structured data \u2014 data made up of nodes (entities) and edges (relationships). While convolutional neural networks (CNNs) are best for grids (images) and transformers excel at sequences (text), GNNs specialize in learning [&hellip;]"}