TeX-Graph: Coupled Tensor-matrix Knowledge-graph Embedding for COVID-19 Drug Repurposing

enthalten in: SIAM International Conference on Data Mining (SDM21) | 2021

von Kanatsoulis, C. | Sidiropoulos, N.

TurboLift: fast accuracy lifting for historical data recovery

enthalten in: The VLDB journal | 2020

von Yang, F. | Almutairi, F. | Song, H. | +3

Turbo-SMT : Parallel Coupled Sparse Matrix-Tensor Factorizations and Applications

enthalten in: Statistical analysis and data mining | 2016

von Papalexakis, E. | Faloutsos, C. | Mitchell, T. | +3

Turbo-SMT : Accelerating Coupled Sparse Matrix-Tensor Factorizations by 200×

enthalten in: Proceedings of the ... SIAM International Conference on Data Mining. SIAM International Conference on Data Mining | 2014

von Papalexakis, E. | Faloutsos, C. | Mitchell, T. | +3

Coclustering—a useful tool for chemometrics

enthalten in: Journal of chemometrics | 2012

von Bro, R. | Papalexakis, E. | Acar, E. | +1

Modeling multi-way data with linearly dependent loadingsThis paper is a result of over 10 years of cross-disciplinary collaboration. Starting from the first draft back in 1998, this has been work in seemingly perpetual progress, as new insights and new interpretations were coming up every few years. When Richard Harshman passed away, the paper was just about to take a new direction due to some interesting experimental results and insights that Richard obtained. Unfortunately, that part was never finalized. Still, this paper is largely a result of Richards persistence and eagerness to keep digging deeper and deeper into the details to gain a complete understanding of observed results. His signature, thinking process and way of writing are imprinted on this paper.

enthalten in: Journal of chemometrics | 2009

von Bro, R. | Harshman, R. | Sidiropoulos, N. | +1