Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Knowledge Graph Completion to Predict Polypharmacy Side Effects   The polypharmacy side effect prediction problem considers cases in which two
drugs taken individually do not result in a particular side effect; however,
when the two drugs are taken in combination, the side effect manifests. In this
work, we demonstrate that multi-relational knowledge graph completion achieves
state-of-the-art results on the polypharmacy side effect prediction problem.
Empirical results show that our approach is particularly effective when the
protein targets of the drugs are well-characterized. In contrast to prior work,
our approach provides more interpretable predictions and hypotheses for wet lab
validation.

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The categories of this paper are: solv-int
29
The categories of this paper are: funct-an
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The categories of this paper are: gr-qc
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The categories of this paper are: dg-ga
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The categories of this paper are: comp-gas
0
The categories of this paper are: hep-ph
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The categories of this paper are: physics
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The categories of this paper are: astro-ph
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The categories of this paper are: acc-phys
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The categories of this paper are: nucl-ex
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The categories of this paper are: hep-th
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The categories of this paper are: chem-ph
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The categories of this paper are: q-bio
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The categories of this paper are: quant-ph
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The categories of this paper are: q-alg
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The categories of this paper are: hep-lat