Struct RuvectorLayer 

pub struct RuvectorLayer { /* private fields */ }

Graph Neural Network layer for HNSW topology

Implementations

impl RuvectorLayer

pub fn instance_of<V: NapiRaw>(env: Env, value: V) -> Result<bool>

impl RuvectorLayer

pub fn into_reference( val: RuvectorLayer, env: Env, ) -> Result<Reference<RuvectorLayer>>

pub fn into_instance(self, env: Env) -> Result<ClassInstance<RuvectorLayer>>

impl RuvectorLayer

pub fn new( input_dim: u32, hidden_dim: u32, heads: u32, dropout: f64, ) -> Result<Self>

Create a new Ruvector GNN layer

Arguments

• input_dim - Dimension of input node embeddings
• hidden_dim - Dimension of hidden representations
• heads - Number of attention heads
• dropout - Dropout rate (0.0 to 1.0)

Example

const layer = new RuvectorLayer(128, 256, 4, 0.1);

pub fn forward( &self, node_embedding: Float32Array, neighbor_embeddings: Vec<Float32Array>, edge_weights: Float32Array, ) -> Result<Float32Array>

Forward pass through the GNN layer

Arguments

• node_embedding - Current node’s embedding (Float32Array)
• neighbor_embeddings - Embeddings of neighbor nodes (Array of Float32Array)
• edge_weights - Weights of edges to neighbors (Float32Array)

Returns

Updated node embedding as Float32Array

Example

const node = new Float32Array([1.0, 2.0, 3.0, 4.0]);
const neighbors = [new Float32Array([0.5, 1.0, 1.5, 2.0]), new Float32Array([2.0, 3.0, 4.0, 5.0])];
const weights = new Float32Array([0.3, 0.7]);
const output = layer.forward(node, neighbors, weights);

pub fn to_json(&self) -> Result<String>

Serialize the layer to JSON

pub fn from_json(json: String) -> Result<Self>

Deserialize the layer from JSON

Trait Implementations

impl FromNapiMutRef for RuvectorLayer

unsafe fn from_napi_mut_ref( env: napi_env, napi_val: napi_value, ) -> Result<&'static mut Self>

Safety

impl FromNapiRef for RuvectorLayer

unsafe fn from_napi_ref( env: napi_env, napi_val: napi_value, ) -> Result<&'static Self>

Safety

impl FromNapiValue for &RuvectorLayer

unsafe fn from_napi_value(env: napi_env, napi_val: napi_value) -> Result<Self>

Safety

fn from_unknown(value: JsUnknown) -> Result<Self, Error>

impl FromNapiValue for &mut RuvectorLayer

unsafe fn from_napi_value(env: napi_env, napi_val: napi_value) -> Result<Self>

Safety

fn from_unknown(value: JsUnknown) -> Result<Self, Error>

impl ObjectFinalize for RuvectorLayer

fn finalize(self, env: Env) -> Result<(), Error>

impl ToNapiValue for RuvectorLayer

unsafe fn to_napi_value(env: napi_env, val: RuvectorLayer) -> Result<napi_value>

Safety

impl TypeName for &RuvectorLayer

fn type_name() -> &'static str

fn value_type() -> ValueType

impl TypeName for &mut RuvectorLayer

fn type_name() -> &'static str

fn value_type() -> ValueType

impl TypeName for RuvectorLayer

fn type_name() -> &'static str

fn value_type() -> ValueType

impl ValidateNapiValue for &RuvectorLayer

unsafe fn validate(env: napi_env, napi_val: napi_value) -> Result<napi_value>

Safety

impl ValidateNapiValue for &mut RuvectorLayer

unsafe fn validate(env: napi_env, napi_val: napi_value) -> Result<napi_value>

Safety