Event2Vec: additive event embedding library released

Event2Vec is a library for learning embeddings of discrete event sequences, where history is the running sum of event vectors. Training uses self-supervised next-event prediction and a reconstruction loss, supporting Euclidean, hyperbolic, spherical, SO(n) rotation, and Heisenberg group spaces to handle non-commutative sequence order. It is open-sourced on arXiv and GitHub with pip installation.

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