CODEWITHSUNDEEP
python-3.xkerasgraphstellargraph
Shradhit Subudhi
Shradhit Subudhi

Reputation: 13

Issues with StellarGraph's Unsupervised GraphSage Example

I attempted to run the "graphsage-unsupervised-sampler-embeddings.ipynb" notebook (you can find it here (link)), but I encountered an error at the following line of code:

node_embeddings = embedding_model.predict(node_gen, workers=4, verbose=1)

The error message I received is as follows:

`ValueError: in user code:

File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training.py", line 2341, in predict_function  *
    return step_function(self, iterator)
File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training.py", line 2327, in step_function  **
    outputs = model.distribute_strategy.run(run_step, args=(data,))
File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training.py", line 2315, in run_step  **
    outputs = model.predict_step(data)
File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training.py", line 2283, in predict_step
    return self(x, training=False)
File "/usr/local/lib/python3.10/dist-packages/keras/src/utils/traceback_utils.py", line 70, in error_handler
    raise e.with_traceback(filtered_tb) from None
File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/input_spec.py", line 219, in assert_input_compatibility
    raise ValueError(

ValueError: Layer "model_9" expects 3 input(s), but it received 1 input tensors. Inputs received: [<tf.Tensor 'IteratorGetNext:0' shape=(None, None, None) dtype=float32>]

`

I would appreciate any assistance in identifying the reason for this error and finding a solution.

Tried to even run this code link. However, I am still encountering the same error.

Upvotes: 1

Views: 110

Answers (0)

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