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Hetnets in Python: hetio v0.1.0 initial release

Authors: Daniel Himmelstein;

Hetnets in Python: hetio v0.1.0 initial release

Abstract

This is the first release of hetio for hetnets in Python. Currently, the following features are supported: creating a hetnet consisting of a metagraph (types) and a graph (nodes and edges) metanode and metaedge abbreviations node and edge properties using the data attribute node and edge masking writing and reading hetnets summary statistics summary visualizations metapath extraction from the metagraph graph traversal to extract paths feature computation, specifically DWPCs The following features are not currently supported: node or edge deletion network permutation (edge swaps) Documentation is lacking, but see these examples of network creation and feature extraction.

Keywords

graphs, networks, heterogeneous network, Rephetio, hetnets

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selected citations
These citations are derived from selected sources.
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).
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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.
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