Graph Neural Networks and Network Analysis Course

Master graph neural networks, message passing, graph attention, link prediction, network evaluation and scalable organisational applications.

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Graph Neural Networks and Network Analysis Course

Training Outlines

Introduction

Many important systems are defined by relationships rather than isolated records. Customers transact with merchants, assets form infrastructure networks, molecules contain connected atoms and users interact through social or communication graphs. Graph neural networks learn from both entity attributes and network structure, enabling richer analysis than conventional row-based models.

This five-day course develops practical competence in network analysis and graph neural networks. Participants will construct graphs, analyse structural patterns, implement message-passing architectures and address node, link and graph-level prediction tasks. The course emphasises valid graph evaluation, scalable computation and application design for complex organisational networks.

Objectives

By the end of this course, participants will be able to:

Represent organisational data as meaningful graphs.
Analyse centrality, communities and network structure.
Explain graph convolutions and message passing.
Build node, edge and graph prediction models.
Apply attention and neighbourhood aggregation.
Design valid graph splits and evaluation.
Scale and interpret graph-learning systems.
Develop a production graph-AI use case.

Course Content

Day 1: Graph Data and Network Analysis

Nodes, edges and graph representations
Directed, weighted and heterogeneous graphs
Adjacency and neighbourhood structure
Centrality and influence measures
Community detection and connectivity
Organisational graph-construction laboratory

Day 2: Graph Representation Learning

Node features and structural embeddings
Spectral and spatial graph learning
Message-passing neural networks
Graph convolutional networks
Neighbourhood sampling and aggregation
Node-representation laboratory

Day 3: Graph Neural Architectures

GraphSAGE and inductive learning
Graph attention networks
Link prediction and edge scoring
Graph classification and pooling
Heterogeneous and knowledge graphs
Graph-model implementation laboratory

Day 4: Training and Graph Evaluation

Graph-aware data splitting
Negative sampling strategies
Over-smoothing and depth limitations
Imbalance and rare-relationship detection
Scalability and mini-batch training
Graph-model evaluation review

Day 5: Applications and Production Design

Fraud and transaction networks
Recommendation and similarity graphs
Supply-chain and infrastructure networks
Dynamic graphs and temporal change
Graph explanations and drift monitoring
Capstone graph-AI solution design

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

Jakarta

Indonesia

Cork

Ireland

Dublin

Ireland

Florence

Italy

Milan

Italy

Naples

Italy

Rome

Italy

Osaka

Japan

Tokyo

Japan

Pristina

Kosovo

Prizren

Kosovo

Liepāja

Latvia

Riga

Latvia

Schaan

Liechtenstein

Vaduz

Liechtenstein

Kaunas

Lithuania

Vilnius

Lithuania

Esch-sur-Alzette

Luxembourg

Luxembourg City

Luxembourg

Kuala Lumpur

Malaysia

Malé

Maldives

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

Abuja

Nigeria

Lagos

Nigeria

Port Harcourt

Nigeria

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

Singapore

Bratislava

Slovakia

Košice

Slovakia

Bled

Slovenia

Ljubljana

Slovenia

Incheon

South Korea

Seoul

South Korea

Barcelona

Spain

Madrid

Spain

Valencia

Spain

Sri Jayawardenepura Kotte

Sri Lanka

Gothenburg

Sweden

Stockholm

Sweden

Bern

Switzerland

Geneva

Switzerland

Zurich

Switzerland

Kaohsiung

Taiwan

Taipei

Taiwan

Ankara

Turkey

Istanbul

Turkey

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 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.