Comments (3)
palash1992
commented on August 18, 2024
Please have a look here: keras-team/keras#12379
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isikcakmak
commented on August 18, 2024
Hi,Palash Goyal;
I looked keras-team/keras#12379 .I applied the solutions he said for the previous issue. but my problem was not solved. I took these error messages in SDNE implementation. I tried the things you suggested.
I didn’t solve my problems with 'from tensorflow.python.keras import backend'
I tried all of them.
I changed Tensorflow_version==1.13.1 and keras ==2.2.4 but I took this error .
Keras==2.2.4
Tensorflow==1.13.1
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juanpablo-munoz
commented on August 18, 2024
You need to downgrade your tensorflow install to 1.xx. I installed 1.14 and it worked. You still need to force install keras==2.0.2 though.
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Related Issues (20)
- Error in SDNE
- Tensorflow module is missing
- sdne: Nodes corresponding to embedded vectors HOT 1
- Problem with dependencies HOT 3
- LaplacianEigenmap for a large number of connected components HOT 3
- result of the running example of readme.md HOT 2
- The use of "merge" module of keras.layers in sdne.py HOT 2
- EXECUTION HOT 3
- SDNE execution problem HOT 1
- how to use GEM in an exsisting graph HOT 4
- gf not found HOT 2
- Use of Link prediction code HOT 2
- The number of positive classes for each node is leaked to TopKRanker HOT 1
- How to determine dimension variable in methods HOT 1
- Create embeddings directly from an adjacency matrix (e.g. numpy.array or scipy.sparse)? HOT 2
- [Errno 2] No such file or directory: 'gem/intermediate/karate_gf.graph' HOT 7
- Error when running link prediction
- Unweighted node2vec not possible?
- Error running SDNE algorithm HOT 1
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