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Examining the Effects of Degree Distribution and Homophily in Graph Learning Models.
Mustafa Yasir
John Palowitch
Anton Tsitsulin
Long Tran-Thanh
Bryan Perozzi
Published in:
CoRR (2023)
Keyphrases
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learning models
degree distribution
social networks
clustering coefficient
power law
small world
scale free
machine learning
semi supervised learning
loss function
random graphs
heavy tailed
complex networks
learning algorithm
learning tasks
learning problems
machine learning algorithms
conditional random fields
network evolution
classification models
path length
structural properties
network structure
feature selection
social network analysis
neural network