Graph Neural Networks (GNN) Courses and Certifications

Machine Learning with Graphs

Master graph neural networks, node embeddings, and network analysis through Stanford's comprehensive exploration of machine learning algorithms for large-scale social and information networks.

• YouTube
• 22 hours 23 minutes
• Self-Paced
• Free Video

Advanced Deep Learning Methods for Healthcare

15 ratings at Coursera

Explore advanced deep learning techniques for healthcare, including attention models, graph neural networks, memory networks, and generative models. Apply these methods to real-world medical challenges through hands-on projects.

• Coursera
• 16 hours 28 minutes
• Self-Paced
• Paid Course

Packt

Advanced PyTorch Techniques and Applications

30 ratings at Coursera

Master advanced PyTorch techniques for recommender systems, autoencoders, GANs, GNNs, and transformers. Explore NLP, model deployment, and optimization using PyTorch Lightning. Ideal for experienced data scientists and ML engineers.

• Coursera
• 11 hours 23 minutes
• Self-Paced
• Paid Course

Packt

Machine Learning with PyTorch and Scikit-Learn

Master machine learning and deep learning with PyTorch and Scikit-Learn through practical examples, covering neural networks, transformers, GANs, and reinforcement learning techniques.

• Coursera
• 1 day 19 hours 12 minutes
• Self-Paced
• Paid Course

Deep Learning

Master neural networks, CNNs, RNNs, transformers, and generative models with theory and applications in computer vision, NLP, and robotics from MIT.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Code With Aarohi

AI and Deep Learning Explained - CNNs, Transformers, GANs, YOLO, GNNs and More

Discover comprehensive AI and deep learning through 115+ tutorials covering CNNs, Transformers, GANs, YOLO, and more with hands-on implementations in TensorFlow and PyTorch.

• YouTube
• 1 day 13 hours 59 minutes
• Self-Paced
• Free Video

Artificial Intelligence Drug Design

Explore AI-driven drug design, covering target discovery, AlphaFold, molecular generation, and ADMET prediction through practical case studies and hands-on tools from Fudan University experts.

• XuetangX
• Self-Paced
• Free Online Course

Interactive Imitation Learning: Planning Alongside Humans

Interactive imitation learning for robots: tackling feedback-driven covariate shift and predicting human intent using graph neural networks, with applications in self-driving vehicles.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Institute for Advanced Study

Theory of Deep Learning - Where Next?

Explore cutting-edge theoretical foundations of deep learning through expert talks on optimization, generalization, representation learning, and neural network interpretability.

• YouTube
• 17 hours 49 minutes
• Self-Paced
• Free Video

TensorFlow

Intro to Graph Neural Networks

Comprehensive introduction to graph neural networks, covering theory, applications, and hands-on practice with a Colab exercise. Ideal for those interested in advanced machine learning techniques.

• YouTube
• 51 minutes
• Self-Paced
• Free Video

MedAI- Graph-Based Modeling in Computational Pathology - Siyi Tang

1 rating

Explore graph-based modeling in computational pathology, focusing on cellular interactions and spatial structures in whole slide images using graph neural networks for biomarker discovery and workflow automation.

• YouTube
• 49 minutes
• Self-Paced
• Free Video

Machine Learning with Graphs - Fall 2019

Comprehensive exploration of machine learning with graphs, covering network properties, community structures, graph neural networks, and their applications in various domains.

• YouTube
• 1 day 4 hours
• Self-Paced
• Free Video

Discover AI

Learn Graph Neural Networks - Code, Examples and Theory

Master Graph Neural Networks through hands-on coding, theory, and state-of-the-art libraries like PyTorch Geometric and DGL for deep learning on graph-structured data.

• YouTube
• 7 hours 49 minutes
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

Statistical Methods and Machine Learning in High Energy Physics - 2023

Explore advanced statistical methods and machine learning techniques for analyzing high energy physics data, including neural networks, anomaly detection, and simulation-based inference.

• YouTube
• 1 day 14 hours 11 minutes
• Self-Paced
• Free Video

Yannic Kilcher

How to Make Your CPU as Fast as a GPU - Advances in Sparsity with Nir Shavit

Explore advances in sparsity and how CPUs can match GPU performance in neural networks. Learn about pruning, efficient algorithms, and the future of sparse architectures in deep learning.

• YouTube
• 50 minutes
• Self-Paced
• Free Video