Metadata-Version: 2.1
Name: tensorflow-gnn
Version: 0.1.0
Summary: A library for building scalable graph neural networks in TensorFlow.
Home-page: UNKNOWN
Author: Google LLC
Author-email: graph-learning-team@googlegroups.com
License: Apache 2.0
Download-URL: https://github.com/tensorflow/gnn.git
Description: # TensorFlow GNN (EXPERIMENTAL)
        
        **This is an early (alpha) release to get community feedback.** It's under
        active development and **we may break API compatibility in the future**.
        
        
        TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow
        platform. It contains the following components:
        
        * A high-level Keras-style API to create GNN models that can easily be composed
          with other types of models. GNNs are often used in combination with ranking,
          deep-retrieval (dual-encoders) or mixed with other types of models
          (image, text, etc.)
        
        * GNN API for heterogeneous graphs. Many of the graph problems we approach at
          Google and in the real world contain different types of nodes and edges.
          Hence the emphasis in heterogeneous models.
        
        * A well-defined schema to declare the topology of a graph, and tools to
          validate it. It describes the shape of its training data and serves to guide
          other tools.
        
        * A GraphTensor composite tensor type which holds graph data, can be batched,
          and has efficient graph manipulation functionality available.
        
        * A library of operations on the GraphTensor structure:
        
          * Various efficient broadcast and pooling operations on nodes and edges, and
            related tools.
        
          * A library of standard baked convolutions, that can be easily extended by
            ML engineers/researchers.
        
          * A high-level API for product engineers to quickly build GNN models without
            necessarily worrying about its details.
        
        * A set of tools used to convert graph datasets and sample from large
          graphs.
        
        * An encoding of graph-shaped training data on file, as well as a library used
          to parse this data into a data structure your model can extract the various
          features.
        
        This library is an OSS port of a Google internal library used in a broad variety
        of contexts, on homogeneous and heterogeneous graphs, and in conjunction with
        other scalable graph mining tools.
        
Keywords: tensorflow gnn graph
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.9,<4
Description-Content-Type: text/markdown
