Syntax Graph

Syntax graphs represent code or text structure, aiming to improve tasks like sentiment analysis, vulnerability prediction, and code generation by explicitly modeling syntactic relationships. Current research focuses on integrating syntax graphs with deep learning models, particularly graph neural networks and transformers, to leverage both sequential and structural information, often incorporating techniques like graph pruning and attention mechanisms for enhanced efficiency and accuracy. This approach shows promise for improving the performance of various natural language processing and software engineering tasks, leading to more accurate and explainable systems.