Graph Evolving and Embedding in Transformer

Keyphrases

• Transformer 100%
• Weight Matrix 75%
• Graph Learning 75%
• Learning Representations 50%
• Attention Layer 50%
• Node Embedding 50%
• Structural Information 25%
• Graph Representation 25%
• Attention-based 25%
• Graph Network 25%
• The Self 25%
• Update Mechanism 25%
• Parameter Update 25%
• Prediction Task 25%
• Learning Machine 25%
• Financial Distress Prediction 25%
• Embedding Matrix 25%
• Graph Convolutional Network 25%
• Cross-attention 25%
• Mean Reciprocal Rank 25%
• Node Weight 25%
• Transformer Layer 25%

Computer Science

• Attention (Machine Learning) 100%
• Graph Representation Learning 100%
• Node Embedding 100%
• Temporal Information 50%
• Information Source 50%
• Graph Representation 50%
• Graph Convolutional Network 50%
• Machine Learning 50%