Node Embedding with Adaptive Similarities for Scalable Learning over Graphs

Keyphrases

• Learning on Graphs 100%
• Scalable Learning 100%
• Node Embedding 100%
• Adaptive Similarity 100%
• Real-world Graphs 42%
• Embedding Method 28%
• Link Prediction 28%
• Underlying Graph 28%
• Node Classification 28%
• Recent Advances 14%
• Analytic Task 14%
• Node Importance 14%
• Principal Coordinate Analysis (PCoA) 14%
• Superior Performance 14%
• Graph Learning 14%
• Spectral Properties 14%
• Similarity Structure 14%
• Community Detection 14%
• Informative Features 14%
• Unsupervised Algorithm 14%
• Learning Task 14%
• Hyperparameters 14%
• Similarity Metrics 14%
• Descriptive Characteristics 14%
• Process Structure 14%
• Graph Structure 14%
• Unsupervised Method 14%
• Similarity Matrix 14%
• Link Community 14%
• Stochastic Block Model 14%
• Graph Analytics 14%
• Feature Vector Space 14%
• Embedding Process 14%
• Link Clustering 14%
• Node Similarity 14%
• Embedding Framework 14%
• Unsupervised Node Embedding 14%
• Adaptive Node 14%

Computer Science

• Node Embedding 100%
• Embedding Method 25%
• Link Prediction 25%
• Node Classification 25%
• Superior Performance 12%
• Community Detection 12%
• Graph Analytics 12%
• Unsupervised Manner 12%
• Spectral Property 12%
• Principal Components 12%
• Component Analysis 12%
• Feature Vector 12%
• Similarity Matrix 12%
• Embedding Process 12%
• Leaning Parameter 12%
• Stochastic Block Model 12%