Efficient and Effective Edge-wise Graph Representation Learning

Keyphrases

• Graph Representation Learning 100%
• Edge Representation 100%
• Effective Edge 100%
• Superior Performance 50%
• Edge Attributes 50%
• Large Graphs 25%
• Graph Structure 25%
• Real-world Application 25%
• Order of Magnitude 25%
• High Computational Cost 25%
• Node-based Approach 25%
• Paucity 25%
• Vector-based 25%
• Representation Learning 25%
• Random Walk 25%
• Node Representation 25%
• Low-dimensional Vectors 25%
• Unique Properties 25%
• Graph Analysis 25%
• Real-life Dataset 25%
• Aggregation Mechanism 25%
• Inherent Drawbacks 25%
• High-order Information 25%
• High-order Proximity 25%
• Edge Classification 25%
• Review Spam 25%
• Feature Aggregation 25%
• Random Yield 25%
• Credit Card Fraud Detection 25%
• Representation Vector 25%

Computer Science

• Graph Representation Learning 100%
• Superior Performance 66%
• Representation Learning 33%
• World Application 33%
• spam 33%
• Computational Cost 33%
• Order Information 33%
• Random Walk 33%
• Dimensional Vector 33%
• Unique Property 33%
• Fraud Detection 33%

Engineering

• Nodes 100%
• Computational Cost 33%
• Real Life 33%
• Real World Application 33%
• Representation Vector 33%
• Powerful Tool 33%
• Dimensional Vector 33%