Graph convolutional networks: algorithms, applications and open challenges

Keyphrases

• Network Algorithms 100%
• Algorithm Application 100%
• Graph Convolutional Network 100%
• Deep Learning Model 66%
• Learning Problems 33%
• Computer Vision 33%
• Connectivity Pattern 33%
• Bioinformatics 33%
• Challenging Tasks 33%
• Unique Capabilities 33%
• Network Model 33%
• Superior Performance 33%
• Graph Structure 33%
• Application Domain 33%
• Learning Mechanisms 33%
• Structural Relationship 33%
• Machine Learning 33%
• Euclidean Space 33%
• Embedding Method 33%
• Work-based 33%
• Graph Properties 33%
• Machine Data 33%
• Social Analysis 33%
• Graph Mining 33%
• Mining Area 33%
• Graph Deep Learning 33%
• Shallow Learning 33%
• Graph Representation Learning 33%

Computer Science

• Network Algorithm 100%
• Graph Convolutional Network 100%
• Deep Learning Model 66%
• Data Mining 33%
• Application Domain 33%
• Learning Problem 33%
• Learning Mechanism 33%
• Potential Solution 33%
• Superior Performance 33%
• Structured Data 33%
• Social Analysis 33%
• Structural Relation 33%
• Potential Direction 33%
• Graph Neural Network 33%
• Graph Representation Learning 33%
• Machine Learning 33%
• Learning System 33%
• Computer Vision 33%
• Bioinformatics 33%

Psychology

• Learning Model 100%
• Network Model 50%
• Computer Vision 50%