A versatile framework for attributed network clustering via K-nearest neighbor augmentation

Keyphrases

• Graph Clustering 100%
• K-nearest 100%
• Hypergraph 100%
• Attributed Networks 100%
• Attributed Network Clustering 100%
• Multiplex Graphs 75%
• Cluster Node 50%
• Disjoint 25%
• Social Networks 25%
• Electronic Commerce 25%
• Network Topology 25%
• Simple Graph 25%
• Bioinformatics 25%
• GPU Acceleration 25%
• Attribute Information 25%
• Node Clustering 25%
• Graph Mining 25%
• Attributed Graph 25%
• Node Attributes 25%
• Separate Layer 25%
• Cluster Quality 25%
• Clustering Framework 25%
• Specific Information 25%
• Random Walk Model 25%
• Inter-cluster 25%
• Intra-cluster 25%
• Efficient Solvers 25%
• Algorithm Design 25%
• Interaction Graph 25%
• Augmentation Strategy 25%
• Attributed Graph Clustering 25%
• Higher-order Interactions 25%
• Multi-hop Connection 25%
• Speedup Technique 25%
• Clustering Efficiency 25%
• Objective Optimization 25%

Computer Science

• Graphics Processing Unit 100%
• Clustering Graph 100%
• Social Network 50%
• Network Topology 50%
• Bioinformatics 50%
• Attribute Information 50%
• Random Walk 50%
• Clustering Quality 50%
• Objective Optimization 50%
• Speedup Technique 50%
• Interaction Order 50%