Ext-RESCAL is a memory efficient implementation of RESCAL, a state-of-the-art algorithm for DEDICOM-like tensor factorization. Ext-RESCAL is written in Python and relies on the SciPy Sparse module.
- 3-D sparse tensor factorization ;
- Joint 3-D sparse tensor and 2-D sparse matrix factorization (extended version) ;
- The implementation provably scales well to the domains with millions of nodes on the affordable hardware;
- Handy input format;
 M. Nickel, V. Tresp, H. Kriegel. A Three-way Model for Collective Learning on Multi-relational Data // Proceedings of the 28th International Conference on Machine Learning (ICML'2011). - 2011.
 M. Nickel, V. Tresp, H. Kriegel. Factorizing YAGO: Scalable Machine Learning for Linked Data // Proceedings of the 21st international conference on World Wide Web (WWW'2012). - 2012.
- Changes to previous version:
Initial Announcement on mloss.org.
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