Comments (3)
palash1992
commented on May 28, 2024
Yes, the implementation produces comparable results except on 20-Newsgroup for which I could not reproduce the results.
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snash4
commented on May 28, 2024
thanks! saved my time.
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FanGhost
commented on May 28, 2024
Yes, the implementation produces comparable results except on 20-Newsgroup for which I could not reproduce the results.
Hello, cloud you sharing the settings of hyper-parameters on BlogCatalog , I tried it few times but can't reproduce the results.
Would really appreciate it!
Thanks
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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
- SDNE implementation error HOT 3
- Error when running link prediction
- Unweighted node2vec not possible?
- Error running SDNE algorithm HOT 1
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