Exact(25)
Another formulation for districting uses graph theory.
Transformation based systems uses graph grammars or graph rewriting systems.
The paper uses graph theory to represent a product and define the relationships between its components.
One translates into a fingerprint [41], and the other uses graph convolutions [42].
(ii) This paper uses graph theory combining with the Lyapunov method to derive the ISS of the considered system.
VeriFlow [19] uses graph search techniques to verify network-wide invariants, and handles dynamic changes in real time.
Similar(35)
Evgeniou et al. introduced an approach that uses graph-based regularization [29, 30].
Following the approach of Hummon and Doreain [26], he uses graph-theoretic properties of citation networks to highlight turning points and cumulativeness in engineering developments.
This algorithm uses graph-building to (1) identify genetic variants that influence disease risk and (2) predict individuals at risk for disease based on inherited genotype.
The method uses graph-theoretic clustering based on vertex weighting by local neighbourhood density and outward traversal from a locally dense seed node.
This pipeline uses graph-based clustering of sequence reads sharing mutual sequence similarities (minimum percent identity: 90%; minimum overlap: 55% of the shorter sequence length) to detect groups of frequently overlapping reads representing genomic repeats.
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