Practice - Graph Neural Networks (GNNs)
Practice Questions
Test your understanding with targeted questions
What does GNN stand for?
💡 Hint: Think about the type of data these networks are designed for.
Name the two fundamental components of graph data.
💡 Hint: What makes up the structure of a graph?
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What do Graph Neural Networks primarily work on?
💡 Hint: Consider the type of structure GNNs are built to interpret.
True or False: GNNs only model nodes without considering the edges.
💡 Hint: Think about the interactions within graphs.
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Challenge Problems
Push your limits with advanced challenges
Given a set of user interactions in a social network graph, how would you implement a GNN to predict friend suggestions? Outline the key steps.
💡 Hint: Think about how information flows in a network.
How would you adapt a GNN model to account for varying edge weights in a graph? Discuss your approach.
💡 Hint: Consider the implications of different strengths in relationships.
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Reference links
Supplementary resources to enhance your learning experience.