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Hi, Diego! Thank you for sharing the code.
I have read and run the code in branch **similar_impl_tensorflow**. There are some questions I confuse about.
The paper of GAT tells that the author re…
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Dear developers,
I was looking for a Semi-Supervised ML method in R and found your excellent package. I tried your example code adapting it to my input data, and after some reformating it works app…
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could you provide the coarsen part's source code? the coarsen operates on the whole graph, but your work implements the inductive train graph for the label part? could you please give more details abo…
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The PharmKG8k dataset that you use, and the one which the people behind the PharmKG8k paper point to have some significant issues.
We think that we have solved these significant issues. The issues …
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Hi, I plan to run pubmed-original_transductive_FastGCN.py on Cora 100 times and change the random seed from 0 to 99. I get the result (until seed = 64)
avg: 79.8%
max: 80.6%
min: 78.4%
std: 0.46%…
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You separate the images in each class into disjoint labeled and unlabeled sets. Why we can't sample labeled images and take the remained images as unlabeled split and sample unlabeled data from here? …
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Hello, I recently read your paper ：Sequential semi supervised segmentation for serial electron microscope image with small number of labels. I'm very interested. I want to learn from you and do some c…
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Kindly assist on these two problems:
- I tried to reproduce the paper's results by implementing the model and I was successful in obtaining similar results throughout all the datasets except for one:…
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It would be nice to have a framework similar to `GridSearchCV` and `RandomSearchCV` for assessing unsupervised clusterers. Given a scoring function (silhouette score, or any other domain-appropriate w…
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Hello, I'm just a little confused about the evaluation setup.
In Section 4.2 of your paper, it is said that 'For evaluation, each test episode was formed by randomly sampling 15 queries for each of…