def process(self):
self.data, self.slices = read_tu_data(self.raw_dir, self.name)
if self.pre_transform is not None:
data_list = [self.get(idx) for idx in range(len(self))]
data_list = [self.pre_transform(data) for data in data_list]
self.data, self.slices = self.collate(data_list)
torch.save((self.data, self.slices), self.processed_paths[0])
def process(self):
self.data, self.slices = read_tu_data(self.raw_dir, self.name)
if self.data.x is not None and not self.use_node_attr:
self.data.x = self.data.x[:, self.num_node_attributes:]
if self.pre_filter is not None:
data_list = [self.get(idx) for idx in range(len(self))]
data_list = [data for data in data_list if self.pre_filter(data)]
self.data, self.slices = self.collate(data_list)
if self.pre_transform is not None:
data_list = [self.get(idx) for idx in range(len(self))]
data_list = [self.pre_transform(data) for data in data_list]
self.data, self.slices = self.collate(data_list)
torch.save((self.data, self.slices), self.processed_paths[0])