Word2Vec, Node2Vec, Graph2Vec, X2Vec: Theory of Vector Embeddings
[Introduction] Embedding representation learning is a current research hotspot. From Word2Vec to Node2Vec to Graph2Vec, a large number of X2Vec algorithms have emerged. But how can we construct a theory of vector embeddings to guide algorithm design? Recently, Professor Martin Grohe, a computer science professor at RWTH Aachen University and ACM Fellow, gave a report … Read more