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In the original version of iCTNet, five types of biological interactions (protein-protein, disease-gene, drug-gene, tissue-gene, disease-tissue) were integrated in a graph fashion, allowing for practical and intuitive integration of those data sources within the Cytoscape 2 environment.
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A 0-1 ILP formulation for optimally solving the special case of minimum depth adder graphs in a graph-based fashion was recently proposed [26].
Record each isometric set, in a graph-like fashion, by numbering the sets from one to nine and left to right.
That the channels create an implicit social graph around say, fashion, or a bar.
As users provide more information about their wardrobe in each shopping experience, a Fashion Graph is created that connects users, brands, and clothes.
Their solution combines AI with a fashion knowledge graph to generate outfits on demand.
While in traditional Bezos fashion, the graph doesn't actually have any numbers on its Y axis — it seems to be chronicling the hockey stick growth of all Kindle Books sold through Amazon, versus the linear growth of physical books sold through the platform.
The next graph, in true journalistic fashion, gives us "the opposite end of the class spectrum": Migrant workers cycling in pre-dawn hours without headlights.
Thus, shortest paths in a graph weighted in this fashion tended to favor plausible reactions.
Once the weights are computed, the algorithm traverses the weighted graph in a greedy fashion to isolate densely connected regions.
This is the same data that feeds into Polyvore's "style graph," which is focused on understanding users' personal tastes when it comes to fashion items.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com