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Knowledge
Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does GNN stand for?
💡 Hint: Think about the type of data these networks are designed for.
Question 2
Easy
Name the two fundamental components of graph data.
💡 Hint: What makes up the structure of a graph?
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What do Graph Neural Networks primarily work on?
- Grid-like data
- Graph data
- Time series data
💡 Hint: Consider the type of structure GNNs are built to interpret.
Question 2
True or False: GNNs only model nodes without considering the edges.
- True
- False
💡 Hint: Think about the interactions within graphs.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
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.
Question 2
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.
Challenge and get performance evaluation