Struct GnnConfig

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pub struct GnnConfig {
    pub layers: Vec<GnnLayer>,
    pub aggregation: GnnAggregation,
    pub num_iterations: usize,
}

Expand description

Full configuration for a GraphNeuralNetwork.

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§layers: Vec<GnnLayer>

Ordered sequence of layers applied to each node’s representation.

§aggregation: GnnAggregation

Neighbour aggregation strategy.

§num_iterations: usize

Number of message-passing iterations.

Trait Implementations§

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impl Clone for GnnConfig

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fn clone(&self) -> GnnConfig

Returns a duplicate of the value. Read more

1.0.0 (const: unstable) · Source§

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more

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impl Debug for GnnConfig

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more

Auto Trait Implementations§

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impl UnwindSafe for GnnConfig

Blanket Implementations§

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impl<T> Allocation for T
where T: RefUnwindSafe + Send + Sync,

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

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where T: ?Sized,

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fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more

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

Mutably borrows from an owned value. Read more

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impl<ST, DT> CastableFrom<ST, Uninit, Uninit> for DT
where ST: ?Sized, DT: ?Sized,

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impl<T> CloneToUninit for T
where T: Clone,

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unsafe fn clone_to_uninit(&self, dest: *mut u8)

🔬This is a nightly-only experimental API. (clone_to_uninit)

Performs copy-assignment from self to dest. Read more

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impl<T> From<T> for T

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Returns the argument unchanged.

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fn instrument(self, span: Span) -> Instrumented<Self>

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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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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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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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