Think your Data Different
Explains how Graph Neural Networks and node2vec use graph structure and random walks to generate embeddings for machine learning tasks.
Explains how Graph Neural Networks and node2vec use graph structure and random walks to generate embeddings for machine learning tasks.
Explores word morphing using word2vec embeddings and A* search to find semantic paths between words, like 'tooth' to 'light'.
Explains the word2vec algorithm and the famous 'king - man + woman = queen' analogy using vector arithmetic and word co-occurrences.