Node Embedding with Adaptive Similarities for Scalable Learning over Graphs

Mathematics

• Learning 100%
• Similarity 93%
• Vertex of a graph 62%
• Graph in graph theory 50%
• Multi-hop 33%
• Prediction 16%
• Feature Vector 15%
• Community Detection 15%
• Standardization 12%
• Hyperparameters 12%
• Principal Component Analysis 10%
• Training 10%
• Assign 9%
• Model 9%
• Spectral Properties 9%
• Clustering 9%
• Vector space 8%
• Experiment 7%
• Path 6%
• Metric 6%
• Design 6%
• Alternatives 6%
• Performance 5%
• Framework 5%

Engineering & Materials Science

• Graph structures 45%
• Vector spaces 37%
• Metadata 36%
• Standardization 34%
• Principal component analysis 34%
• Experiments 13%