Graph Neural Networks Explained With Easy Pictures!

Описание: In this tutorial, we move beyond basic graph structures and dive into the foundations of Graph Neural Networks (GNNs) —a powerful class of models that extend deep learning to graph-structured data. The tutorial explains how GNNs function and their importance in understanding relationships, especially within social networks, providing a solid *gnn intro**. Using diagrams, it clarifies how computers utilize **graph machine learning* to learn from *graphs**, highlighting **data science* applications and the **adjacency matrix**. If you’re studying AI, data science, or machine learning, this lecture will help you understand how GNNs learn from nodes, edges, and entire graphs.

🔍 In This Video, You’ll Learn:

What are Graph Neural Networks (GNNs)?

Why standard neural networks fail on graph-structured data

Key concepts: message passing, neighbourhood aggregation, and node embeddings

Types of GNNs: GCN, GAT, and more

⏱️ Timestamps
00:00 Introduction
01:45 What Are Graph Neural Networks (GNNs)?
04:25 Key Concepts in GNNs – Message Passing, Node Embeddings, Graph-level Outputs
07:33 Message Passing Paradigm: How GNNs Work
10:00 Types of GNN Architectures – GCNs, GATs, GRNs
14:20 Graph Convolutional Networks (GCNs)
17:00 Graph Attention Networks (GATs)
18:40 Graph Recurrent Networks (GRNs)
20:23 Spatial and Spectral-based GNNs

🧠 Why This Matters:
Graphs are everywhere, from molecules to social networks. GNNs unlock deep insights from these structures—and they’re quickly becoming essential in modern AI.

📺 Watch Part 1 (Graphs & Graph Structures):    • How Graphs Power AI Models | Start Here wi...  

Further Reading materials:
1. https://github.com/Donmaston09/Learni...
2. https://distill.pub/2021/gnn-intro/
3. https://www.geeksforgeeks.org/deep-le...
4. https://arxiv.org/abs/2208.03075


👍 Don’t forget to like, subscribe, and turn on notifications for more lectures in AI, ML, and Data Science!

#artificialintelligence #machinelearning #GraphNeuralNetworks #GNNs #MachineLearning #AI #DeepLearning #DataScience #NeuralNetworks #GNNtutorial #MessagePassing #GraphLearning #GCN #GAT #socialnetworks #MolecularGraphs #researchers #programming #ai #python #tutorial #lecture



In this video, delve into Graph Neural Networks (GNNs) and their significance in handling graph data. The tutorial explains how GNNs function and their importance in understanding relationships, especially within social networks, providing a solid *gnn intro**. Using diagrams, it clarifies how computers utilize **graph machine learning* to learn from *graphs**, highlighting **data science* applications and the **adjacency matrix**.