Researchers have developed a method using graph neural networks to quickly evaluate the adsorption energy of organic molecules on metals. This approach is related to heterogeneous catalysis and may have applications in various fields, including the detection of volatile organic compounds and wastewater treatment. The specifics of the method and its potential uses are being explored through various studies, with some focusing on the use of neural networks to predict adsorption energy in different contexts.