Spatio-temporal attentive RNN for node classification in temporal attributed graphs

Keyphrases

• Spatiotemporal 100%
• Node Classification 100%
• Attributed Graph 100%
• Contextual Information 50%
• Node Attributes 50%
• Spatial Dimension 25%
• Feature Representation 25%
• Vector Representation 25%
• Local Neighborhood 25%
• Structural Features 25%
• Real-world Application 25%
• Neighbor Node 25%
• Graph Structure 25%
• Existing Techniques 25%
• Temporal Dimension 25%
• Attention Mechanism 25%
• Static Graph 25%
• One Target 25%
• Model Interpretability 25%
• Spatial Structural 25%
• Topology Characteristics 25%
• Graph Topology 25%

Computer Science

• Recurrent Neural Network 100%
• Node Classification 100%
• Contextual Information 66%
• Interpretability 33%
• World Application 33%
• Structural Feature 33%
• Research Effort 33%
• Relative Importance 33%
• Structured Data 33%
• Spatial Dimension 33%
• Temporal Dimension 33%
• Recurrent Network 33%
• Attention (Machine Learning) 33%
• Topology Graph 33%