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#Graph Neural Networks (GNN)

Showing: 10 courses
Aleksa Gordić - The AI Epiphany

ETA Prediction with Graph Neural Networks in Google Maps - Paper Explained

1 rewiews
Explore Graph Neural Networks for ETA prediction in Google Maps, covering graph formation, features, GNN architecture, loss functions, baselines, inference, and experimental results.
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12 Lesons
39 minutes
On-Demand
Free-Video
Aladdin Persson

Graph Neural Networks- A Gentle Introduction

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Gentle introduction to Graph Neural Networks, covering key concepts, properties, and variants. Learn about graph representation, information propagation, and common tasks in this emerging field of machine learning.
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13 Lesons
29 minutes
On-Demand
Free-Video
Aladdin Persson

Graph Convolutional Network Paper Explained

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Comprehensive explanation of Graph Convolutional Networks (GCNs), covering theory, derivation, and practical applications in node classification, with insights into their functionality and effectiveness.
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9 Lesons
27 minutes
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

How to Get Started With Graph ML - Blog Walkthrough

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Comprehensive introduction to Graph Machine Learning, covering applications, methods, and resources. Explores research challenges, GNN expressivity, and related subfields, providing a solid foundation for beginners.
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18 Lesons
47 minutes
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

Graph Attention Network Project Walkthrough

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Comprehensive walkthrough of Graph Attention Network implementation, covering dataset analysis, key implementation details, and related deep learning projects for enthusiasts and practitioners.
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15 Lesons
40 minutes
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

Temporal Graph Networks - GNN Paper Explained

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Explore temporal graph networks and dynamic graphs, learning advanced techniques for graph machine learning, including time-based sampling, memory management, and attention mechanisms.
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15 Lesons
39 minutes
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

Graph SAGE - Inductive Representation Learning on Large Graphs - GNN Paper Explained

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Deep dive into Graph SAGE, exploring its innovative approach to large-scale graph learning. Covers key concepts, training methods, aggregator functions, and comparisons with other graph neural networks.
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13 Lesons
44 minutes
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

Graph Convolutional Networks - GNN Paper Explained

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Comprehensive exploration of Graph Convolutional Networks, covering theory, implementation, and applications. Delves into spectral methods, Weisfeiler-Lehman perspective, and GNN depth, offering insights for both beginners and experts.
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13 Lesons
50 minutes
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

Graph Attention Networks - GNN Paper Explained

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Explore Graph Attention Networks (GAT) in-depth, covering graph theory basics, GAT methodology, multi-head versions, visualizations, and applications in transductive/inductive learning scenarios.
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11 Lesons
38 minutes
On-Demand
Free-Video
Prodramp

Graph Neural Networks Implementation in Python

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Learn Graph Neural Networks implementation in Python, covering graph representations, node embeddings, message passing, and practical applications using NetworkX and PyG libraries.
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33 Lesons
1 hour 59 minutes
On-Demand
Free-Video