Novel Graph Representation Learning Method for Rich-Text Data
Published:Dec 23, 2025 06:44
•1 min read
•ArXiv
Analysis
This ArXiv paper explores the application of Jensen-Shannon Divergence in message-passing for learning graph representations from rich-text data. The approach potentially offers improvements in handling complex text structures for tasks like document understanding.
Key Takeaways
- •Focuses on graph representation learning for rich-text data.
- •Employs Jensen-Shannon Divergence in its message-passing mechanism.
- •Aims to improve document understanding and related tasks.
Reference
“The paper focuses on Jensen-Shannon Divergence Message-Passing.”