Graph Neural Networks
Abhishek discusses the transformation of a graph structure into a node classification problem, where each node represents a room type. He highlights key features used for classification, such as room area, dimensions, and the relationship between parent and child rooms. The conversation also delves into the advantages of graph neural networks over traditional neural networks, emphasizing their ability to capture relationships between nodes for improved classification results.In this clip
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