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Install

  • Installation

Tutorials

  • Quickstart
  • Graph Classification
  • Benchmarking mlx-graphs
  • Node2vec
  • Examples
    • Quantum-chemical property prediction with GNNs

API

  • Data
    • Data Objects
      • mlx_graphs.data.data.GraphData
      • mlx_graphs.data.data.HeteroGraphData
    • Batch Objects
      • mlx_graphs.data.batch.GraphDataBatch
      • mlx_graphs.data.batch.batch
      • mlx_graphs.data.batch.unbatch
      • mlx_graphs.data.collate.collate
    • Utils
      • mlx_graphs.data.utils.validate_list_of_graph_data
  • Datasets
    • mlx_graphs.datasets.Dataset
    • mlx_graphs.datasets.HeteroDataset
    • mlx_graphs.datasets.KarateClubDataset
    • mlx_graphs.datasets.PlanetoidDataset
    • mlx_graphs.datasets.QM7bDataset
    • mlx_graphs.datasets.TUDataset
    • mlx_graphs.datasets.SuperPixelDataset
    • mlx_graphs.datasets.OGBDataset
    • mlx_graphs.datasets.EllipticBitcoinDataset
    • mlx_graphs.datasets.MovieLens100K
    • mlx_graphs.datasets.IMDB
    • mlx_graphs.datasets.DBLP
  • Loaders
    • mlx_graphs.loaders.Dataloader
  • Transforms
    • mlx_graphs.transforms.BaseTransform
    • mlx_graphs.transforms.FeaturesNormalizedTransform
  • Neural Networks
    • mlx_graphs.nn.Linear
    • mlx_graphs.nn.MessagePassing
    • mlx_graphs.nn.GraphNetworkBlock
    • mlx_graphs.nn.SimpleConv
    • mlx_graphs.nn.GATConv
    • mlx_graphs.nn.GATv2Conv
    • mlx_graphs.nn.GCNConv
    • mlx_graphs.nn.GINConv
    • mlx_graphs.nn.SAGEConv
    • mlx_graphs.nn.GeneralizedRelationalConv
    • mlx_graphs.nn.BatchNormalization
    • mlx_graphs.nn.InstanceNormalization
    • mlx_graphs.nn.LayerNormalization
    • mlx_graphs.nn.global_add_pool
    • mlx_graphs.nn.global_max_pool
    • mlx_graphs.nn.global_mean_pool
  • Utils
    • Transformations
      • mlx_graphs.utils.transformations.to_edge_index
      • mlx_graphs.utils.transformations.to_sparse_adjacency_matrix
      • mlx_graphs.utils.transformations.to_adjacency_matrix
      • mlx_graphs.utils.transformations.get_src_dst_features
      • mlx_graphs.utils.transformations.get_unique_edge_indices
      • mlx_graphs.utils.transformations.add_self_loops
      • mlx_graphs.utils.transformations.remove_self_loops
      • mlx_graphs.utils.transformations.to_undirected
      • mlx_graphs.utils.transformations.remove_duplicate_directed_edges
      • mlx_graphs.utils.transformations.coalesce
      • mlx_graphs.utils.transformations.get_isolated_nodes_mask
      • mlx_graphs.utils.transformations.has_isolated_nodes
      • mlx_graphs.utils.transformations.has_self_loops
    • Topology
      • mlx_graphs.utils.topology.is_undirected
      • mlx_graphs.utils.topology.is_directed
      • mlx_graphs.utils.topology.get_num_hops
    • Sorting
      • mlx_graphs.utils.sorting.sort_edge_index
      • mlx_graphs.utils.sorting.sort_edge_index_and_features
    • Validators
      • mlx_graphs.utils.validators.validate_adjacency_matrix
      • mlx_graphs.utils.validators.validate_edge_index
      • mlx_graphs.utils.validators.validate_edge_index_and_features
    • Scatter
      • mlx_graphs.utils.scatter.scatter
      • mlx_graphs.utils.scatter.scatter_add
      • mlx_graphs.utils.scatter.scatter_max
      • mlx_graphs.utils.scatter.scatter_mean
      • mlx_graphs.utils.scatter.scatter_softmax
      • mlx_graphs.utils.scatter.degree
      • mlx_graphs.utils.scatter.invert_sqrt_degree
    • Array ops
      • mlx_graphs.utils.array_ops.broadcast
      • mlx_graphs.utils.array_ops.expand
      • mlx_graphs.utils.array_ops.one_hot
      • mlx_graphs.utils.array_ops.pairwise_distances
      • mlx_graphs.utils.array_ops.index_to_mask
    • Convert
      • mlx_graphs.utils.convert.to_networkx
      • mlx_graphs.utils.convert.from_networkx
  • Algorithms
  • .rst

Examples

Examples#

Examples

  • Quantum-chemical property prediction with GNNs

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Node2vec

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Quantum-chemical property prediction with GNNs

By mlx-graphs contributors

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