graph_nets

Build Graph Nets in Tensorflow (by google-deepmind)

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better graph_nets alternative or higher similarity.

graph_nets reviews and mentions

Posts with mentions or reviews of graph_nets. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-02.
  • [D] Graph neural networks
    2 projects | /r/MachineLearning | 2 Nov 2022
    You can also have a look at these later surveys that give an idea of the different types of GNNs. Also if you prefer Tensorflow you can use the Graph Nets library.
  • RL Agent Library to use graph in spaces
    4 projects | /r/reinforcementlearning | 22 Oct 2022
    I don't know if any RL library includes an already implemented agent that can process graphs. However there are a number of deep learning frameworks that can help with the implementation of graph neural networks, especially Graph Nets (based on Tensorflow) and PyTorch Geometric. You might need to modify an existing RL agent to make use of one of these frameworks. If you are not familiar with GNNs you can look up these surveys. This article may also be of interest to you: it tackles graph-based environments, and the paper's code is available (it has a custom implementation of A2C and uses PyTorch Geometric -- btw it doesn't use Gym's space.graph since this feature is very recent in Gym).

Stats

Basic graph_nets repo stats
2
5,322
1.8
over 1 year ago

google-deepmind/graph_nets is an open source project licensed under Apache License 2.0 which is an OSI approved license.

The primary programming language of graph_nets is Python.

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