On the Power of Graph Neural Networks and Feature Augmentation Strategies to Classify Social Networks.
Walid GuettalaLászló GulyásPublished in: CoRR (2024)
Keyphrases
- neural network
- social networks
- social graphs
- bipartite graph
- social network analysis
- directed graph
- evolving graphs
- graph theory
- power consumption
- graph model
- graph representation
- graph structure
- vector representation
- artificial neural networks
- pattern recognition
- neural network model
- information propagation
- degree distribution
- random walk
- massive graphs
- small world
- clustering coefficient
- preprocessing stage
- betweenness centrality
- graph theoretic
- genetic algorithm
- activation function
- automatic classification
- link prediction
- feature vectors
- web graph
- directed acyclic graph
- graph data
- weighted graph
- recurrent neural networks
- multilayer perceptron
- graph matching
- online social networks
- social interaction
- back propagation
- social media
- heterogeneous social networks