Metadata-Version: 2.1
Name: gnn
Version: 1.1.2
Summary: Graph Neural Network Tensorflow implementation
Home-page: https://github.com/mtiezzi/gnn
Author: Matteo Tiezzi
Author-email: mtiezzi@diism.unisi.it
License: UNKNOWN
Description: Graph Neural Network Model
        ==========================
        
        
        This repo contains a Tensorflow implementation of the Graph Neural Network model.
        
        
        - **Website (including documentation):** https://sailab.diism.unisi.it/gnn/index.html
        
        Install
        -------
        The GNN framework requires the packages **tensorflow**, **numpy**, **scipy**
        
        
        To install the requirements you can use the following command:
        
            pip install -U -r requirements.txt
        
        
        
        
        
        Install the latest version of GNN:
        
            pip install gnn
        
        For additional details, please see `INSTALL.rst`.
        
        Simple usage example
        --------------------
        
            import gnn.gnn_utils as gnn_utils
            import gnn.GNN as GNN
            import Net as n
        
            # Provide your own functions to generate input data
            inp, arcnode, nodegraph, labels = set_load()
        
            # Create the state transition function, output function, loss function and  metrics 
            net = n.Net(input_dim, state_dim, output_dim)
        
            # Create the graph neural network model
            g = GNN.GNN(net, input_dim, output_dim, state_dim)
        
            #Training
        
            for j in range(0, num_epoch):
                g.Train(inp, arcnode, labels, count, nodegraph)
        
                # Validate            
                print(g.Validate(inp_val, arcnode_val, labels_val, count, nodegraph_val))
        
        
        License
        -------
        
        Released under the 3-Clause BSD license (see `LICENSE`)
        
        Copyright (C) 2004-2019 Matteo Tiezzi
        Matteo Tiezzi <mtiezzi@diism.unisi.it>
        Alberto Rossi <alrossi@unifi.it>
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
