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Neural Networks on Random Graphs

Authors: Janik, Romuald A.; Nowak, Aleksandra;

Neural Networks on Random Graphs

Abstract

A collection of 1020 neural networks based on random graphs of various types implemented in PyTorch. These networks were used in the paper Romuald A. Janik, Aleksandra Nowak, Neural Networks on Random Graphs [arXiv:2002.08104]. The accompanying code and documentation is available in the repository github.com/rmldj/random-graph-nn-paper.

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Keywords

neural network, random graph

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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