Examining the Effects of Degree Distribution and Homophily in Graph Learning Models.
Mustafa YasirJohn PalowitchAnton TsitsulinLong Tran-ThanhBryan PerozziPublished in: CoRR (2023)
Keyphrases
- 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