Source code for torch_geometric.transforms.one_hot_degree

import torch
import torch.nn.functional as F
from torch_geometric.utils import degree


class OneHotDegree(object):
    r"""Adds the node degree as one hot encodings to the node features.

    Args:
        max_degree (int): Maximum degree.
        in_degree (bool, optional): If set to :obj:`True`, will compute the
            in-degree of nodes instead of the out-degree.
            (default: :obj:`False`)
        cat (bool, optional): Concat node degrees to node features instead
            of replacing them. (default: :obj:`True`)
    """

    def __init__(self, max_degree, in_degree=False, cat=True):
        self.max_degree = max_degree
        self.in_degree = in_degree
        self.cat = cat

    def __call__(self, data):
        idx, x = data.edge_index[1 if self.in_degree else 0], data.x
        deg = degree(idx, data.num_nodes, dtype=torch.long)
        deg = F.one_hot(deg, num_classes=self.max_degree + 1).to(torch.float)

        if x is not None and self.cat:
            x = x.view(-1, 1) if x.dim() == 1 else x
            data.x = torch.cat([x, deg.to(x.dtype)], dim=-1)
        else:
            data.x = deg

        return data

    def __repr__(self):
        return '{}({})'.format(self.__class__.__name__, self.max_degree)