Timothée Lacroix

Tensor Decompositions for Temporal Knowledge Base Completion

Most algorithms for representation learning and link prediction in relational data have been designed for static data. However, the data they are applied to usually evolves with time, such as friend graphs in social networks or user interactions with items in recommender systems. This is also the ca…