I create my own graphs with the code as about graph_nets HOT 4 CLOSED

You seem to be trying to run the network directly against a GraphTuple with numpy arrays (hence .shape being a tuple instead of TensorShape).

In order to run the network you must feed it tf.placeholder objects which are filled with the actual values through session.run(). There are some helper functions to create tf.placeholder objects based on the GraphTuple. Check the example notebooks for now to run the network.

from graph_nets.

There are seem no global-level attributes in the graphs. dose it work?why?

from graph_nets.

There is a global feature with

G.graph["features"] = np.array([0.])

I also update my comment in #6(comment) where you can see more information.

from graph_nets.

Closing due to inactivity, since the last answer seems to have worked for the OP.

Run "graph nets basics demo" in browser

The new "graph nets basics demo" is a tutorial containing step by step examples about how to create and manipulate graphs, how to feed them into graph networks and how to build custom graph network modules. It should contain most of the answers to these questions.

from graph_nets.