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20132026
most citedModeling polypharmacy side effects with graph convolutional networks

1.5k citations · 6.9k across the 102 of their papers we have counts for

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Showing 2018Show all

7 papers · 1 filter

cs.LG2018★ 81 cited

NIMFA: A Python Library for Nonnegative Matrix Factorization

Marinka Zitnik, Blaz Zupan

NIMFA is an open-source Python library that provides a unified interface to nonnegative matrix factorization algorithms. It includes implementations of state-of-the-art factorizati…

q-bio.QM2018★ 693 cited

Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities

Marinka Zitnik, Francis Nguyen, Bo Wang +3

New technologies have enabled the investigation of biology and human health at an unprecedented scale and in multiple dimensions. These dimensions include a myriad of properties de…

cs.SI2018★ 59 cited

Embedding Logical Queries on Knowledge Graphs

William L. Hamilton, Payal Bajaj, Marinka Zitnik +2

Learning low-dimensional embeddings of knowledge graphs is a powerful approach used to predict unobserved or missing edges between entities. However, an open challenge in this area…

q-bio.MN2018★ 164 cited

Network Enhancement: a general method to denoise weighted biological networks

Bo Wang, Armin Pourshafeie, Marinka Zitnik +4

Networks are ubiquitous in biology where they encode connectivity patterns at all scales of organization, from molecular to the biome. However, biological networks are noisy due to…

cs.SI2018★ 61 cited

Prioritizing network communities

Marinka Zitnik, Rok Sosic, Jure Leskovec

Uncovering modular structure in networks is fundamental for systems in biology, physics, and engineering. Community detection identifies candidate modules as hypotheses, which then…

cs.LG2018★ 1.5k cited

Modeling polypharmacy side effects with graph convolutional networks

Marinka Zitnik, Monica Agrawal, Jure Leskovec

The use of drug combinations, termed polypharmacy, is common to treat patients with complex diseases and co-existing conditions. However, a major consequence of polypharmacy is a m…