Room Classification Using Graphs

Room classification can be effectively achieved by modeling floor plans as graphs, with rooms represented as nodes and doors as edges. By leveraging graph properties, additional relevant features can be extracted without needing to add more data. This allows for the identification of patterns not only in neighboring nodes but also in nodes further away, enhancing the classification process. Utilizing graph neural networks enables the application of graph structures to machine learning, resulting in improved room classification outcomes.