Procedural Graph

Procedural graphs are automatically generated or extracted graph structures representing procedures or processes, aiming to improve understanding and analysis of complex systems. Current research focuses on developing efficient algorithms, including reinforcement learning approaches, to generate diverse and controllable graph structures, as well as on improving methods for extracting these graphs from textual descriptions, often leveraging large language models. This field is significant for its potential applications in diverse areas such as game design, knowledge representation, and document understanding, offering improved ways to visualize and interact with complex information.