[docs] @functional_transform('mask_to_index') class MaskToIndex(BaseTransform): r"""Converts a mask to an index representation (functional name: :obj:`mask_to_index`). Args: attrs (str, [str], optional): If given, will only perform mask to index conversion for the given attributes.

Args: mask (Tensor): The mask. Example: >>> mask = torch.tensor([False, True, False]) >>> mask_to_index(mask) tensor([1]) """ return mask.nonzero(as_tuple=False).view(-1)

Converts indices to a mask representation. Converts a mask to an index representation. Selects the input tensor or input list according to a given index or mask vector. Narrows the input tensor or input list to the specified range.

Feb 2, 2023 · We also support many different types of masks, these are set with node_mask_type and edge_mask_type, and can be: None will not mask any nodes/edges "object" will mask each node/edge

Professor Pyg most commonly wears a pig mask, [66] a makeshift surgical outfit, [54] and a butcher's apron. Much of his original wardrobe in the comic books was designed by Frank Quitely and is a homage to the Edwardian suits worn by Rex Harrison in My Fair Lady.

Feb 23, 2022 · You can add splitting masks automatically via torch_geometric.transforms.RandomNodeSplit. Let me know if this fixes your issues :)

Sep 18, 2019 · Compiling the information in this thread: to create a mask for a custom training set you have to A). define the mask B). extend the Data attribute C). collate the Data objects into a Dataset.

May 15, 2023 · To handle this, we typically stash train_mask, val_mask, and test_mask attributes in the original Data , and then those masks will be propagated to the batches. For example, PyG’s...

Aug 7, 2020 · My data is a 3D tensor of shape (num_graphs, num_nodes, num_features). Each one of these graphs is assigned a label and they all have the same connectivity. So edge indices matrix is the same for all but nodes have different features and I want to learn classifying graphs with different node features. I begin testing with a dummy data;

Apr 20, 2023 · 这段代码展示了如何使用Python和NumPy库生成训练、验证和测试数据集的ID，并通过随机化处理。 接着定义了一个函数`sample_mask`用于创建mask，最后应用该函数为不同数据集生成对应的mask。 这段代码适用于机器学习模型的数据预处理阶段。