affinity_to_edge_index¶
- affinity_to_edge_index(affinity_matrix, threshold=0.5)[source]¶
Convert an affinity matrix (similarity matrix) to an edge index.
Converts an NxN affinity matrix to a 2xM edge index, where M is the number of node pairs with a similarity greater than the threshold value (defaults to 0.5).
- Parameters:
affinity_matrix (torch.Tensor | np.ndarray) – An NxN matrix of affinities between nodes.
threshold (Number) – Threshold above which to be considered connected. Defaults to 0.5.
- Returns:
The edge index of shape (2, M).
- Return type:
torch.Tensor | np.ndarray
Example
>>> rng = np.random.default_rng() >>> points = rng.random((100, 2)) >>> adjacency = delaunay_adjacency(points) >>> edge_index = affinity_to_edge_index(adjacency)