A graph embedding-based dynamic update method for intelligence knowledge graphs

Key Points

• Dynamic updates improve the relevance of knowledge graphs for intelligence applications.
• The algorithm efficiently processes changes in data and maintains graph integrity.
• Employing graph embedding techniques enables better data representation during updates.
• This method highlights the need for continuous learning in machine learning systems.