= Linkless embedding
{wiki=Linkless_embedding}
Linkless embedding is a concept in the field of data representation and machine learning, particularly relevant in the context of graph-based models and natural language processing. The term often relates to the way certain types of information can be represented without relying on explicit connections or links between data points, such as in traditional graph structures. In the context of machine learning: 1. **Graph Representation**: Many machine learning tasks depend on nodes (data points) and edges (connections between nodes).
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