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Comparison of features between churned and retained users.

Comparison of features between churned and retained users.

<p>Comparison of features between churned and retained users.</p>

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Bibliographic Details
Main Author: Minseop Lee (14508606) (author)
Other Authors: Jiyoung Woo (8720871) (author)
Published: 2025
Subjects:
Cancer
Science Policy
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
xlink "> research
proposed model achieves
graph neural networks
experimental results reveal
accurately reflect changes
predicts user churn
predicting user churn
dynamic graph model
user behavior compared
static graph models
soul &# 8217
user churn prediction
use static graphs
interactions among users
churn prediction
user behavior
static graphs
&# 8217
dynamic graphs
user interactions
predictive models
dynamic nature
work highlights
study addresses
playing games
many studies
gaming industry
gaming domain
games based
effectively capture
diverse types
conventional algorithms
actively applied
active interactions
000 users
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