pub struct GraphAdjacencyMatrix {
pub num_nodes: usize,
pub num_edges: usize,
pub is_directed: bool,
/* private fields */
}Expand description
Adjacency matrix representation for graph neural networks
Fields§
§num_nodes: usizeNumber of nodes
num_edges: usizeNumber of edges
is_directed: boolWhether the graph is directed
Implementations§
Source§impl GraphAdjacencyMatrix
impl GraphAdjacencyMatrix
Sourcepub fn from_edge_list(
edges: &[(usize, usize)],
num_nodes: usize,
is_directed: bool,
) -> Result<Self, TensorError>
pub fn from_edge_list( edges: &[(usize, usize)], num_nodes: usize, is_directed: bool, ) -> Result<Self, TensorError>
Create adjacency matrix from edge list
Sourcepub fn as_sparse_tensor(&self) -> &CSRTensor
pub fn as_sparse_tensor(&self) -> &CSRTensor
Get sparse tensor representation
Sourcepub fn normalized_with_self_loops(&self) -> Result<Self, TensorError>
pub fn normalized_with_self_loops(&self) -> Result<Self, TensorError>
Compute normalized adjacency matrix (for GCN)
Returns: D^(-1/2) * (A + I) * D^(-1/2) where D is the degree matrix and I is the identity matrix
Sourcepub fn degree_matrix(&self) -> DenseTensor
pub fn degree_matrix(&self) -> DenseTensor
Compute degree matrix
Sourcepub fn inverse_degree_matrix(&self) -> DenseTensor
pub fn inverse_degree_matrix(&self) -> DenseTensor
Compute inverse degree matrix (for normalization)
Trait Implementations§
Source§impl Clone for GraphAdjacencyMatrix
impl Clone for GraphAdjacencyMatrix
Source§fn clone(&self) -> GraphAdjacencyMatrix
fn clone(&self) -> GraphAdjacencyMatrix
Returns a duplicate of the value. Read more
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from
source. Read moreAuto Trait Implementations§
impl Freeze for GraphAdjacencyMatrix
impl RefUnwindSafe for GraphAdjacencyMatrix
impl Send for GraphAdjacencyMatrix
impl Sync for GraphAdjacencyMatrix
impl Unpin for GraphAdjacencyMatrix
impl UnsafeUnpin for GraphAdjacencyMatrix
impl UnwindSafe for GraphAdjacencyMatrix
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