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import torch
from torch_geometric.data import Data
from torch_geometric.datasets.motif_generator import CustomMotif
class HouseMotif(CustomMotif):
r"""Generates the house-structured motif from the `"GNNExplainer:
Generating Explanations for Graph Neural Networks"
<https://arxiv.org/abs/1903.03894>`__ paper, containing 5 nodes and 6
undirected edges. Nodes are labeled according to their structural role:
the top, middle and bottom of the house.
"""
def __init__(self) -> None:
structure = Data(
num_nodes=5,
edge_index=torch.tensor([
[0, 0, 0, 1, 1, 1, 2, 2, 3, 3, 4, 4],
[1, 3, 4, 4, 2, 0, 1, 3, 2, 0, 0, 1],
]),
y=torch.tensor([0, 0, 1, 1, 2]),
)
super().__init__(structure)
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