Complete list of publications

  1. Accounting for Language Changes over Time in Document Similarity Search.

    Sara Morsy and George Karypis. UMN-CS TR 15-011, 2015.

  1. Efficient Nested Dissection for Multicore Architectures.

    Dominique LaSalle and George Karypis. EuroPar, 2015.

  1. SPLATT: Efficient and Parallel Sparse Tensor-Matrix Multiplication.

    Shaden Smith, Niranjay Ravindran, Nicholas D. Sidiropoulos, and George Karypis. 29th IEEE International Parallel & Distributed Processing Symposium, 2015.

  1. Mining Coevolving Induced Relational Motifs in Dynamic Networks.

    Rezwan Ahmed and George Karypis. Workshop on Dynamic Networks (SDM-Networks), SIAM Data mining Conference, 2015.

  1. Feature-based factorized Bilinear Similarity Model for Cold-Start Top-n Item Recommendation.

    Mohit Sharma, Jiayu Zhou, Junling Hu, and George Karypis. 2015 SIAM International Conference on Data Mining, 2015.

  1. A comprehensive survey of neighborhood-based recommendation methods.

    Xia Ning, Christian Desrosiers, and George Karypis. In Recommender Systems Handbook; 2nd edition, 2015.

  1. Understanding Computer Usage Evolution.

    David C. Anastasiu, Al M. Rashid, Andrea Tagarelli, and George Karypis. 31st IEEE International Conference on Data Engineering (ICDE), 2015.

  1. Evaluation of Connected-Component Labeling Algorithms for Distributed-Memory Systems.

    Jeremy Iverson, Chandrika Kamath, and George Karypis. Parallel Computing, Volume 44, Pages 53–68, 2015.

  1. NLMF: NonLinear Matrix Factorization Methods for Top-N Recommender Systems.

    Santosh Kabbur and George Karypis. 7th ICDM International Workshop on Domain Driven Data Mining (DDDM), 2014.

  1. Memory-Efficient Parallel Computation of Tensor and Matrix Products for Big Tensor Decomposition.

    Niranjay Ravindran, Nicholas D. Sidiropoulos, Shaden Smith, and George Karypis. 28th Asilomar Conference on Signals, 2014.

  1. HOSLIM: Higher-Order Sparse Linear Method for Top-N Recommender Systems.

    Evangelia Christakopoulou and George Karypis. 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2014.

  1. Algorithms for Mining the Coevolving Relational Motifs in Dynamic Networks.

    Rezwan Ahmed and George Karypis. UMN CS 14-008, 2014.