Index _ | A | B | C | D | E | F | G | H | I | K | L | M | N | O | P | Q | R | S | T | U | V _ __call__() (mlx_graphs.nn.BatchNormalization method) (mlx_graphs.nn.GATConv method) (mlx_graphs.nn.GCNConv method) (mlx_graphs.nn.GeneralizedRelationalConv method) (mlx_graphs.nn.GINConv method) (mlx_graphs.nn.global_add_pool method) (mlx_graphs.nn.global_max_pool method) (mlx_graphs.nn.global_mean_pool method) (mlx_graphs.nn.GraphNetworkBlock method) (mlx_graphs.nn.InstanceNormalization method) (mlx_graphs.nn.LayerNormalization method) (mlx_graphs.nn.Linear method) (mlx_graphs.nn.MessagePassing method) (mlx_graphs.nn.SAGEConv method) (mlx_graphs.nn.SimpleConv method) __cat_dim__() (mlx_graphs.data.data.GraphData method) __inc__() (mlx_graphs.data.data.GraphData method) __init__() (mlx_graphs.data.batch.GraphDataBatch method) (mlx_graphs.loaders.Dataloader method) A add_self_loops() (in module mlx_graphs.utils.transformations) aggregate() (mlx_graphs.nn.GeneralizedRelationalConv method) (mlx_graphs.nn.MessagePassing method) B BaseTransform (class in mlx_graphs.transforms) batch() (in module mlx_graphs.data.batch) BatchNormalization (class in mlx_graphs.nn) broadcast() (in module mlx_graphs.utils.array_ops) C coalesce() (in module mlx_graphs.utils.transformations) collate() (in module mlx_graphs.data.collate) D Dataloader (class in mlx_graphs.loaders) Dataset (class in mlx_graphs.datasets) DBLP (class in mlx_graphs.datasets) degree() (in module mlx_graphs.utils.scatter) download() (mlx_graphs.datasets.Dataset method) E EllipticBitcoinDataset (class in mlx_graphs.datasets) expand() (in module mlx_graphs.utils.array_ops) F FeaturesNormalizedTransform (class in mlx_graphs.transforms) from_networkx() (in module mlx_graphs.utils.convert) G GATConv (class in mlx_graphs.nn) GCNConv (class in mlx_graphs.nn) GeneralizedRelationalConv (class in mlx_graphs.nn) get_isolated_nodes_mask() (in module mlx_graphs.utils.transformations) get_num_hops() (in module mlx_graphs.utils.topology) get_src_dst_features() (in module mlx_graphs.utils.transformations) get_unique_edge_indices() (in module mlx_graphs.utils.transformations) GINConv (class in mlx_graphs.nn) global_add_pool (class in mlx_graphs.nn) global_max_pool (class in mlx_graphs.nn) global_mean_pool (class in mlx_graphs.nn) GraphData (class in mlx_graphs.data.data) GraphDataBatch (class in mlx_graphs.data.batch) GraphNetworkBlock (class in mlx_graphs.nn) H has_isolated_nodes() (in module mlx_graphs.utils.transformations) (mlx_graphs.data.data.GraphData method) (mlx_graphs.data.data.HeteroGraphData method) has_self_loops() (in module mlx_graphs.utils.transformations) (mlx_graphs.data.data.GraphData method) (mlx_graphs.data.data.HeteroGraphData method) HeteroGraphData (class in mlx_graphs.data.data) I IMDB (class in mlx_graphs.datasets) index_to_mask() (in module mlx_graphs.utils.array_ops) InstanceNormalization (class in mlx_graphs.nn) invert_sqrt_degree() (in module mlx_graphs.utils.scatter) is_directed() (in module mlx_graphs.utils.topology) (mlx_graphs.data.data.GraphData method) (mlx_graphs.data.data.HeteroGraphData method) is_undirected() (in module mlx_graphs.utils.topology) (mlx_graphs.data.data.GraphData method) (mlx_graphs.data.data.HeteroGraphData method) K KarateClubDataset (class in mlx_graphs.datasets) L LayerNormalization (class in mlx_graphs.nn) Linear (class in mlx_graphs.nn) load() (mlx_graphs.datasets.Dataset method) M message() (mlx_graphs.nn.GATConv method) (mlx_graphs.nn.GeneralizedRelationalConv method) (mlx_graphs.nn.GINConv method) (mlx_graphs.nn.MessagePassing method) MessagePassing (class in mlx_graphs.nn) MovieLens100K (class in mlx_graphs.datasets) N name (mlx_graphs.datasets.Dataset property) num_edge_classes (mlx_graphs.data.data.GraphData property) (mlx_graphs.data.data.HeteroGraphData property) (mlx_graphs.datasets.Dataset property) num_edge_features (mlx_graphs.data.data.GraphData property) (mlx_graphs.data.data.HeteroGraphData property) (mlx_graphs.datasets.Dataset property) num_edges (mlx_graphs.data.data.GraphData property) (mlx_graphs.data.data.HeteroGraphData property) num_graph_classes (mlx_graphs.data.data.GraphData property) (mlx_graphs.datasets.Dataset property) num_graph_features (mlx_graphs.data.data.GraphData property) (mlx_graphs.data.data.HeteroGraphData property) (mlx_graphs.datasets.Dataset property) num_graphs (mlx_graphs.datasets.Dataset property) num_node_classes (mlx_graphs.data.data.GraphData property) (mlx_graphs.data.data.HeteroGraphData property) (mlx_graphs.datasets.Dataset property) num_node_features (mlx_graphs.data.data.GraphData property) (mlx_graphs.data.data.HeteroGraphData property) (mlx_graphs.datasets.Dataset property) num_nodes (mlx_graphs.data.data.GraphData property) O OGBDataset (class in mlx_graphs.datasets) one_hot() (in module mlx_graphs.utils.array_ops) P pairwise_distances() (in module mlx_graphs.utils.array_ops) PlanetoidDataset (class in mlx_graphs.datasets) process() (mlx_graphs.datasets.Dataset method) (mlx_graphs.transforms.FeaturesNormalizedTransform method) processed_path (mlx_graphs.datasets.Dataset property) propagate() (mlx_graphs.nn.MessagePassing method) Q QM7bDataset (class in mlx_graphs.datasets) R raw_path (mlx_graphs.datasets.Dataset property) remove_duplicate_directed_edges() (in module mlx_graphs.utils.transformations) remove_self_loops() (in module mlx_graphs.utils.transformations) S SAGEConv (class in mlx_graphs.nn) save() (mlx_graphs.datasets.Dataset method) scatter() (in module mlx_graphs.utils.scatter) scatter_add() (in module mlx_graphs.utils.scatter) scatter_max() (in module mlx_graphs.utils.scatter) scatter_mean() (in module mlx_graphs.utils.scatter) scatter_softmax() (in module mlx_graphs.utils.scatter) SimpleConv (class in mlx_graphs.nn) sort_edge_index() (in module mlx_graphs.utils.sorting) sort_edge_index_and_features() (in module mlx_graphs.utils.sorting) SuperPixelDataset (class in mlx_graphs.datasets) T to_adjacency_matrix() (in module mlx_graphs.utils.transformations) to_dict() (mlx_graphs.data.data.GraphData method) (mlx_graphs.data.data.HeteroGraphData method) to_edge_index() (in module mlx_graphs.utils.transformations) to_networkx() (in module mlx_graphs.utils.convert) to_sparse_adjacency_matrix() (in module mlx_graphs.utils.transformations) to_undirected() (in module mlx_graphs.utils.transformations) TUDataset (class in mlx_graphs.datasets) U unbatch() (in module mlx_graphs.data.batch) update_nodes() (mlx_graphs.nn.GeneralizedRelationalConv method) (mlx_graphs.nn.MessagePassing method) V validate_adjacency_matrix() (in module mlx_graphs.utils.validators) validate_edge_index() (in module mlx_graphs.utils.validators) validate_edge_index_and_features() (in module mlx_graphs.utils.validators) validate_list_of_graph_data() (in module mlx_graphs.data.utils)
