Think Different

image courtesy: research gate   Graph Positional and Structural hashtag Encoder A Graph Positional and Structural Encoder is a type of hashtag # neural hashtag # network component designed to process graph-structured data. It aims to learn representations of nodes (entities) in a graph by capturing their positional and structural relationships. Positional Encoder: The Positional Encoder focuses on the node's position within the graph structure. It learns to encode: hashtag # Node centrality (importance) hashtag # Proximity to other nodes Graph hashtag # topology This encoder helps the model understand the node's role and context within the graph. Structural Encoder: The Structural Encoder emphasizes the node's connections and neighborhood. It learns to encode: Node degree (number of connections) Neighborhood structure (local graph topology) Edge attributes (if present) This encoder helps the model understand the node's relationships and interactions with other n...