On the Power of Graph Neural Networks and Feature Augmentation Strategies to Classify Social Networks.
Walid GuettalaLászló GulyásPublished in: ACIIDS (2) (2024)
Keyphrases
- neural network
- social networks
- evolving graphs
- social graphs
- social network analysis
- pattern recognition
- graph theory
- power consumption
- graph theoretic
- massive graphs
- automatic classification
- image features
- communities in social networks
- graph structure
- preprocessing stage
- graph model
- community detection
- weighted graph
- back propagation
- online social networks
- point distribution
- fuzzy logic
- vector representation
- random walk
- feature vectors
- artificial neural networks
- undirected graph
- graph databases
- self organizing maps
- link analysis
- directed graph
- image segmentation
- bipartite graph
- graph mining algorithms
- social media
- information propagation
- viral marketing
- social influence
- activation function
- graph mining
- community structure