# -*- coding: utf-8 -*-
from ..models import GAE
from . import BasePipeline
from argparse import Namespace
from ..utils import perturb_data
from torch_geometric.utils import add_remaining_self_loops
[docs]class GAEPipeline(BasePipeline):
"""GAE pipeline.
Args:
args (Namespace): Arguments.
"""
def __init__(self, args: Namespace):
super().__init__(args)
[docs] def augment_data(self):
self.data = perturb_data(self.data, self.cfg.dataset.augmentation)
if hasattr(self.cfg.dataset.augmentation, 'add_self_loops'):
if self.cfg.dataset.augmentation.add_self_loops:
edge_index, _ = add_remaining_self_loops(self.data.edge_index, num_nodes=self.data.num_nodes)
self.data.edge_index = edge_index
self.cfg.dataset.num_edges = int((edge_index.shape[1]) / 2)
[docs] def build_model(self):
model = GAE(self.logger, self.cfg)
self.logger.model_info(model)
return model