Comments (4)
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.
Related Issues (20)
- GraphTuple from batched tensors does not offset Senders/Receivers HOT 3
- Support Apple Silicon HOT 6
- Error while importing sonnet about gast HOT 1
- AttributeError: module 'sonnet' has no attribute 'AbstractModule' HOT 3
- issue with passing *_model_kwargs parameter HOT 2
- how to build an heterogeneous graph network? HOT 3
- Question about repeat implementation HOT 2
- Inference - shortest path demo HOT 1
- What's the difference between graph_nets and jraph? HOT 3
- Performance issue in /graph_nets/tests (by P3) HOT 2
- Error when calling trained model: "AttributeError: tuple object has no attribute "as_list" HOT 3
- Performance issue HOT 9
- Training on batches of GraphsTuples? HOT 5
- Is this project still live? HOT 2
- Error while using the placeholder function from utils_tf HOT 1
- ZeroDivsion error? HOT 2
- no output from processor HOT 6
- Issue with understanding HOT 2
- TensorFlow 1 is not supported in Google Colab HOT 1
- Problem with plot_compare_graphs function HOT 1
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from graph_nets.