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13:14
YouTube
Antosh Dyade
Graph Embeddings Explained: From Word2Vec to DeepWalk & Node2Vec
How do we feed complex networks like social graphs or biological systems into machine learning models? The answer lies in Graph Embedding—mapping nodes to low-dimensional vectors while preserving their structural information. In this video, we bridge the gap between Natural Language Processing (NLP) and Graph Theory. We explore how algorithms ...
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