Dynamic evolution analysis of relationships between traditional culture and Chinese literary figures based on knowledge graphs and graph neural networks

Key Points

• This research aims to analyze the evolving connections between traditional culture and Chinese literary figures using advanced computational methods.
• Utilized knowledge graphs to represent cultural and literary data.
• Employed graph neural networks to analyze relationships dynamically.
• Conducted qualitative assessments of cultural connections.
• Integrated data from various literary sources for comprehensive analysis.
• Identified significant relationships between traditional cultural elements and literary figures.
• Revealed trends in how cultural influences have evolved over time.
• Highlighted the role of literary figures in representing traditional culture.