mloss.org ExtRESCALhttp://mloss.orgUpdates and additions to ExtRESCALenTue, 20 Jan 2015 00:35:15 -0000ExtRESCAL 0.7.2http://mloss.org/software/view/473/<html><p>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 leverages on the SciPy Sparse module. </p> <h2>Project Page</h2> <p>https://github.com/nzhiltsov/Ext-RESCAL </p> <h2>Features</h2> <ul> <li> 3-D sparse tensor factorization [1] </li> <li> Joint 3-D sparse tensor and 2-D sparse matrix factorization (extended version) [2-3] </li> <li> Handy input format </li> <li> Support of float values as tensor values </li> <li> The implementation provably scales well to the domains with millions of nodes on the affordable hardware </li> </ul> <p>[1] 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. </p> <p>[2] 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. </p> <p>[3] Nickel, Maximilian. Tensor factorization for relational learning. Diss. München, Ludwig-Maximilians-Universität, Diss., 2013, 2013. </p> <h2>Expected Applications</h2> <ul> <li> Link Prediction </li> <li> Collaborative Filtering </li> <li> Entity Search </li> </ul> <h2>Prerequisites</h2> <ul> <li> Python 2.7+ </li> <li> Numpy 1.6+ </li> <li> SciPy 0.12+ </li> </ul></html>Nikita ZhiltsovTue, 20 Jan 2015 00:35:15 -0000http://mloss.org/software/rss/comments/473http://mloss.org/software/view/473/tensorfactorization