GRAPH NEURAL NETWORKS FOR SOCIAL NETWORKS & RECOMMENDATIONS
🚀 Unlock the Power of GNNs for AI-Powered Social & Recommendation Systems!
Why Attend This Workshop?
✅ Want to learn how AI powers social networks like Facebook & LinkedIn?
✅ Interested in building AI-driven recommendation systems like Netflix & Amazon?
✅ Looking for hands-on experience in Graph Neural Networks (GNNs)?
Join our Graph Neural Networks (GNNs) for Social Networks & Recommendations Workshop and get hands-on training in AI-driven graph-based recommendation engines, network analysis, and social media AI applications.
🔹 Duration: 1 Day / 8 Hours
🔹 Mode: Online & Offline
🔹 Level: Intermediate – Advanced
🔹 Prerequisites: Python, Deep Learning Basics, Network Science
What You Will Learn
| Module 1: | Introduction to Graph Neural Networks (GNNs) | Understanding graph-based deep learning models | Key differences between GNNs, CNNs, and RNNs |
| Module 2: | Graph Theory & Network Science in AI | Basics of nodes, edges, adjacency matrices | Understanding graph-based data structures |
| Module 3: | Building AI-Powered Social Networks with GNNs | How LinkedIn, Twitter, and Facebook use GNNs | Building a social network AI model with real-world datasets |
| Module 4: | AI-Driven Recommendation Systems Using GNNs | How Netflix, YouTube, and Spotify use AI recommendations | Hands-on GraphSAGE & GAT (Graph Attention Networks) for recommendation systems |
| Module 5: | Hands-On Project – Building a Real-World GNN Model | Developing a GNN-based recommendation engine | Deploying an AI-powered graph-based search engine |
Who Should Attend GNNs Workshop for AI & Recommendations?
✅ AI & Machine Learning Engineers looking to master GNNs
✅ Data Scientists & Researchers interested in AI-based recommendation systems
✅ Software Engineers exploring AI-driven social media applications
✅ Students & AI Enthusiasts passionate about deep learning and network science
Basic deep learning and Python knowledge is recommended.
Why Choose HERE AND NOW AI?
✔ Industry-Leading AI Experts – Learn from top AI & Graph Neural Network professionals
✔ Hands-On Learning – Work on real-world graph-based AI projects
✔ Certificate of Completion – Get an official AI Graph Neural Networks Workshop Certificate
✔ 100% Practical Training – Implement graph-based deep learning models from scratch
🔹 Learn AI-driven Social Networks & Recommendation Systems
🔹 Gain Hands-on Experience with Real-World GNN Projects
🔹 Join the Future of AI & Graph-Based Deep Learning!
FAQ – Frequently Asked Questions
Yes, basic deep learning and Python knowledge is recommended.
PyTorch Geometric, Deep Graph Library (DGL), NetworkX, GraphSAGE, and GAT.
Yes! You’ll get a Certificate of Completion after the workshop.
Yes, both online and offline options are available.