Graph Neural Networks and Network Analysis Course

Explore the fundamentals of Graph Neural Networks and network analysis, covering techniques to model and analyze complex interconnected data structures.

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Training Locations

This Graph Neural Networks and Network Analysis Course is available in multiple cities. Please select your preferred location from the list below

Durrës

Albania

Tirana

Albania

Andorra la Vella

Andorra

Escaldes-Engordany

Andorra

Innsbruck

Austria

Salzburg

Austria

Vienna

Austria

Gomel

Belarus

Minsk

Belarus

Antwerp

Belgium

Brussels

Belgium

Banja Luka

Bosnia and Herzegovina

Sarajevo

Bosnia and Herzegovina

Plovdiv

Bulgaria

Sofia

Bulgaria

Dubrovnik

Croatia

Split

Croatia

Zagreb

Croatia

Limassol

Cyprus

Nicosia

Cyprus

Brno

Czech Republic

Prague

Czech Republic

Aarhus

Denmark

Copenhagen

Denmark

Tallinn

Estonia

Tartu

Estonia

Helsinki

Finland

Tampere

Finland

Lyon

France

Marseille

France

Nice

France

Paris

France

Berlin

Germany

Frankfurt

Germany

Hamburg

Germany

Munich

Germany

Athens

Greece

Thessaloniki

Greece

Budapest

Hungary

Debrecen

Hungary

Akureyri

Iceland

Reykjavík

Iceland

Cork

Ireland

Dublin

Ireland

Florence

Italy

Milan

Italy

Naples

Italy

Rome

Italy

Pristina

Kosovo

Prizren

Kosovo

Liepāja

Latvia

Riga

Latvia

Schaan

Liechtenstein

Vaduz

Liechtenstein

Kaunas

Lithuania

Vilnius

Lithuania

Esch-sur-Alzette

Luxembourg

Luxembourg City

Luxembourg

St. Julian's

Malta

Valletta

Malta

Bălți

Moldova

Chișinău

Moldova

La Condamine

Monaco

Monte Carlo

Monaco

Budva

Montenegro

Podgorica

Montenegro

Amsterdam

Netherlands

Rotterdam

Netherlands

The Hague

Netherlands

Ohrid

North Macedonia

Skopje

North Macedonia

Bergen

Norway

Oslo

Norway

Gdańsk

Poland

Kraków

Poland

Warsaw

Poland

Faro

Portugal

Lisbon

Portugal

Porto

Portugal

Bucharest

Romania

Cluj-Napoca

Romania

City of San Marino

San Marino

Serravalle

San Marino

Belgrade

Serbia

Novi Sad

Serbia

Bratislava

Slovakia

Košice

Slovakia

Bled

Slovenia

Ljubljana

Slovenia

Barcelona

Spain

Madrid

Spain

Valencia

Spain

Gothenburg

Sweden

Stockholm

Sweden

Bern

Switzerland

Geneva

Switzerland

Zurich

Switzerland

Kyiv

Ukraine

Lviv

Ukraine

Odesa

Ukraine

Dubai

United Arab Emirates

Birmingham

United Kingdom

Edinburgh

United Kingdom

London

United Kingdom

Manchester

United Kingdom

Rome (Vatican-adjacent)

Vatican City

Training Outlines

Introduction

This 5-day professional course titled "Graph Neural Networks and Network Analysis" is designed to provide participants with a comprehensive understanding of graph-based learning models and their applications in network analysis. The course will cover fundamental concepts, popular algorithms, practical applications, and hands-on projects, empowering attendees to effectively leverage graph neural networks in various domains.

Objectives

Understand the fundamental concepts of graph neural networks (GNNs).
Explore key algorithms and models in GNNs.
Analyze complex networks using graph-based approaches.
Gain hands-on experience with GNN tools and libraries.
Apply GNNs to solve real-world network analysis problems.

Course Outlines

Day 1: Fundamentals of Graph Theory

Introduction to Graph Theory and Network Science
Graph Terminology and Properties
Types of Graphs: Directed, Undirected, and Weighted
Graph Representations: Adjacency Matrix and List
Hands-On: Visualizing Graphs with NetworkX

Day 2: Basics of Graph Neural Networks

Introduction to Graph Neural Networks (GNNs)
Key Components: Nodes, Edges, and Features
Graph Convolutional Networks (GCNs) Explained
Message Passing and Aggregation Functions
Implementing Basic GNNs using PyTorch Geometric

Day 3: Advanced GNN Models and Techniques

Exploring Advanced GNN Architectures
Attention Mechanisms in GNNs
Graph Autoencoders and GANs
Interpreting GNN Models
Case Study: Real-World Application of Advanced GNNs

Day 4: Network Analysis Applications

Introduction to Network Analysis
Community Detection and Clustering
Centrality Measures and Their Implications
Analyzing Social Networks
Hands-On Project: Network Analysis in Practice

Day 5: GNNs in Action and Future Trends

Real-World Applications of GNNs
Challenges and Limitations of GNNs
Recent Advances and Future Directions
Developing a GNN-Based Solution
Course Review and Q&A Session

Training Schedule

Below is the table of cities along with the respective dates for the upcoming training sessions of Graph Neural Networks and Network Analysis Course. Please review the schedule to find the most convenient option for you. You can also use the below search bar to type the city name and filter the results.