Struct TemporalGraphLearning 

pub struct TemporalGraphLearning {
    pub window_size: usize,
    pub temporal_decay: f64,
    pub aggregation_method: String,
    pub k_neighbors: usize,
    pub random_state: Option<u64>,
}

Temporal graph learning for time-evolving graphs

Fields

window_size: usize

Window size for temporal analysis

temporal_decay: f64

Decay factor for temporal weighting

aggregation_method: String

Method for temporal aggregation: “mean”, “weighted”, “attention”

k_neighbors: usize

Number of neighbors for graph construction

random_state: Option<u64>

Random state for reproducibility

Implementations

impl TemporalGraphLearning

pub fn new() -> Self

Create a new temporal graph learning instance

pub fn window_size(self, size: usize) -> Self

Set window size

pub fn temporal_decay(self, decay: f64) -> Self

Set temporal decay factor

pub fn aggregation_method(self, method: String) -> Self

Set aggregation method

pub fn k_neighbors(self, k: usize) -> Self

Set number of neighbors

pub fn random_state(self, seed: u64) -> Self

Set random state

pub fn fit( &self, snapshots: &[ArrayView2<'_, f64>], ) -> Result<Array2<f64>, SklearsError>

Learn from temporal graph snapshots

Trait Implementations

impl Clone for TemporalGraphLearning

fn clone(&self) -> TemporalGraphLearning

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Default for TemporalGraphLearning

fn default() -> Self

Returns the “default value” for a type.