Graph Neural Networks and Network Analysis Course

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.