metric_dist_delta_con: Calculate graph distance based on DeltaCon
In drostlab/edgynode: Comparison of Gene Regulatory Networks
View source: R/metric_delta_con.R
metric_dist_delta_con R Documentation
Calculate graph distance based on DeltaCon
Description
Computes the distance between two graphs using the DeltaCon method.
Usage
metric_dist_delta_con(adj1, adj2, .MAX_POWER = 10)
Arguments
adj1, adj2
the adjacency matrices
.MAX_POWER
maximum power for matrix inversion
Value
DeltaCon score between adj1 and adj2 (a scalar)
References
D. Koutra, J. T. Vogelstein, and C. Faloutsos: DeltaCon: A Principled Massive-Graph Similarity Function. SIAM 2013: 162–170.
D. Koutra, T. Ke, U. Kang, D. H. Chau, H. K. Pao, C. Faloutsos: Unifying Guilt-by-Association Approaches: Theorems and Fast Algorithms. ECML/PKDD (2) 2011: 245-260
drostlab/edgynode documentation built on March 29, 2024, 10:36 a.m.
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View source: R/metric_delta_con.R
| metric_dist_delta_con | R Documentation |
Calculate graph distance based on DeltaCon
Description
Computes the distance between two graphs using the DeltaCon method.
Usage
metric_dist_delta_con(adj1, adj2, .MAX_POWER = 10)
Arguments
adj1, adj2 |
the adjacency matrices |
.MAX_POWER |
maximum power for matrix inversion |
Value
DeltaCon score between adj1 and adj2 (a scalar)
References
D. Koutra, J. T. Vogelstein, and C. Faloutsos: DeltaCon: A Principled Massive-Graph Similarity Function. SIAM 2013: 162–170.
D. Koutra, T. Ke, U. Kang, D. H. Chau, H. K. Pao, C. Faloutsos: Unifying Guilt-by-Association Approaches: Theorems and Fast Algorithms. ECML/PKDD (2) 2011: 245-260
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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