Federated Graph Neural Network for Cross-graph Node Classification.
Zeli GuanYawen LiZhe XueYuxin LiuHongrui GaoYingxia ShaoPublished in: CCIS (2021)
Keyphrases
- graph structure
- directed graph
- neural network
- graph representation
- graph theory
- random walk
- decision trees
- structured data
- feature vectors
- classification accuracy
- spanning tree
- undirected graph
- bipartite graph
- pattern classification
- multi class
- learning algorithm
- machine learning
- training process
- learning vector quantization
- weighted graph
- connected components
- tree structure
- feature set
- pattern recognition
- feature extraction