Multi-dimensional shared representation learning with graph fusion network for Session-based Recommendation

Computer Science

• Dimensional Feature 100%
• Representation Learning 100%
• Attention (Machine Learning) 66%
• Feature Extraction 66%
• Recurrent Neural Network 66%
• Graph Neural Network 66%
• Network Layer 33%
• Training Process 33%
• Recommendation Accuracy 33%
• Single Feature 33%