Choose the most appropriate option: | Embedding Method | Learning Paradigm | Feature Matrix | |---|---|---| | (1) DeepWalk | | | | (2) GAT | (A) Supervised | (i) X = I | | (3) GraphSAGE | (B) Unsupervised | (ii) X \neq I | | (4) Laplacian Eigenmaps | | | X is the feature matrix and I is the identity matrix

(D) (1), (B), (i); (2), (A), (ii); (3), (A), (ii); (4), (B), (i);

(A) (1), (A), (i); (2), (B), (ii); (3), (A), (ii); (4), (B), (ii);

(B) (1), (B), (i); (2), (B), (i); (3), (A), (ii); (4), (A), (ii);

(C) (1), (A), (ii); (2), (A), (i); (3), (B), (i); (4), (A), (i);

Big Data and Biological Networks · End Term · 13 Apr 2025 · January 2025 term

Question 26: Choose the most appropriate option: | Embedding Method |…

Question 26

+3 marksOne correct option

Choose the most appropriate option:

Embedding Method	Learning Paradigm	Feature Matrix
(1) DeepWalk
(2) GAT	(A) Supervised	(i) $X = I$
(3) GraphSAGE	(B) Unsupervised	(ii) $X \neq I$
(4) Laplacian Eigenmaps

$X$ is the feature matrix and $I$ is the identity matrix

A
(1), (A), (i); (2), (B), (ii); (3), (A), (ii); (4), (B), (ii);
B
(1), (B), (i); (2), (B), (i); (3), (A), (ii); (4), (A), (ii);
C
(1), (A), (ii); (2), (A), (i); (3), (B), (i); (4), (A), (i);
D
(1), (B), (i); (2), (A), (ii); (3), (A), (ii); (4), (B), (i);

Show answer

Correct answer

D
(1), (B), (i); (2), (A), (ii); (3), (A), (ii); (4), (B), (i);

See the whole paper Take it as a mock test

Question 26 of 44 in the IIT Madras BS Big Data and Biological Networks (Big Data and Biological Networks) End Term paper sat on 13 Apr 2025, in the January 2025 term (IIT M IMPROVEMENT AN EXAM QIM3 13 Apr 2025). It carries 3 marks.

Question 26: Choose the most appropriate option: | Embedding Method |…

Question 26

More questions from this paper