SGC removes the nonlinear transitions between GCN layers, collapses the layer weights, and computes a parameter-free K-step propagation S^K X followed by multiclass logistic regression. · CiteArk
Not assessedNo independent reproduction scheduledMethodclaim-sgc-definition
SGC removes the nonlinear transitions between GCN layers, collapses the layer weights, and computes a parameter-free K-step propagation S^K X followed by multiclass logistic regression.
Source: paper:PDF p.3, Section 2.2, Eqs. 7-8
Reported and observed measurements
No structured measurement is attached to this Claim.
Assessments (0)
No immutable Assessment has been published for this Claim yet.
