Question 5 Suppose you want to use a GNN to classify the nodes of a social network (for example, the classes may be: "Democrat", "Republican", “Undecided", "Other"). Suppose that you know the correct label (i.e., the political affiliation) for some of the nodes. Additionally, you know some additional attributes (gender, age, education level) for all nodes. Which of the following statements is/are correct? O The known node attributes, together with the political affiliation data, can be used to form the embedding of each node at layer-0. O The training data should consist of all nodes for which we know the political affiliation. O The larger the number of layers (depth) of the network, the more susceptive the network is to overfitting. O The network can be trained with the cross-entropy loss function we presented in class.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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Question 5
Suppose you want to use a GNN to classify the nodes of a social network (for example, the classes
may be: "Democrat", "Republican", “Undecided", "Other"). Suppose that you know the correct label
(i.e., the political affiliation) for some of the nodes. Additionally, you know some additional
attributes (gender, age, education level) for all nodes. Which of the following statements is/are
correct?
The known node attributes, together with the political affiliation data, can be used to form the embedding of
each node at layer-O.
O The training data should consist of all nodes for which we know the political affiliation.
O The larger the number of layers (depth) of the network, the more susceptive the network is to overfitting.
O The network can be trained with the cross-entropy loss function we presented in class.
Transcribed Image Text:Question 5 Suppose you want to use a GNN to classify the nodes of a social network (for example, the classes may be: "Democrat", "Republican", “Undecided", "Other"). Suppose that you know the correct label (i.e., the political affiliation) for some of the nodes. Additionally, you know some additional attributes (gender, age, education level) for all nodes. Which of the following statements is/are correct? The known node attributes, together with the political affiliation data, can be used to form the embedding of each node at layer-O. O The training data should consist of all nodes for which we know the political affiliation. O The larger the number of layers (depth) of the network, the more susceptive the network is to overfitting. O The network can be trained with the cross-entropy loss function we presented in class.
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