Node Importance Estimation

Node importance estimation (NIE) focuses on assigning relevance scores to nodes within networks, particularly knowledge graphs, to identify key entities or information. Recent research emphasizes leveraging both structural information (e.g., network topology, node connectivity) and semantic content (e.g., node attributes, relationships) to improve accuracy, often employing graph neural networks and contrastive learning techniques. This work is crucial for applications like knowledge graph pruning, recommendation systems, and enhancing large language models by enabling efficient information retrieval and improved contextual understanding.