tensorlogic_sklears_kernels::graph_kernel

Struct WeisfeilerLehmanKernel

pub struct WeisfeilerLehmanKernel { /* private fields */ }

Expand description

Weisfeiler-Lehman (WL) kernel

Iteratively refines node labels based on neighborhood structure, then compares label histograms.

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impl WeisfeilerLehmanKernel

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pub fn new(config: WeisfeilerLehmanConfig) -> Self

Create a new WL kernel

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pub fn compute_graphs(&self, g1: &Graph, g2: &Graph) -> Result<f64>

Compute similarity between two graphs

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impl Kernel for WeisfeilerLehmanKernel

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fn compute(&self, x: &[f64], _y: &[f64]) -> Result<f64>

Compute kernel value between two inputs. Read more

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fn name(&self) -> &str

Get kernel name for identification.

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fn compute_matrix(&self, inputs: &[Vec<f64>]) -> Result<Vec<Vec<f64>>>

Compute kernel matrix for a set of inputs. Read more

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fn is_psd(&self) -> bool

Check if kernel is positive semi-definite.

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impl UnwindSafe for WeisfeilerLehmanKernel

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impl<T> Any for T
where T: 'static + ?Sized,

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fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more

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impl<T> Borrow<T> for T
where T: ?Sized,

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fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more

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impl<T> BorrowMut<T> for T
where T: ?Sized,

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fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more

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impl<T> From<T> for T

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fn from(t: T) -> T

Returns the argument unchanged.

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impl<T, U> Into for T
where U: From<T>,

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fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

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impl<T> IntoEither for T

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fn into_either(self, into_left: bool) -> Either<Self, Self>

Converts self into a Left variant of Either<Self, Self> if into_left is true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more

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fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
where F: FnOnce(&Self) -> bool,

Converts self into a Left variant of Either<Self, Self> if into_left(&self) returns true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more

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