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Dear authors,
First thank you for your amazing works and contributions. This is one of my favorite papers to read and I have study this paper over and over again like a handbook. there many citatio…
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Hi,
I truly appreciate the outstanding work you've done with SSFWAdaBoost. It has been a valuable resource for exploring semi-supervised learning models. Upon reviewing the 'Demo.m' file, I noticed t…
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Hi, thanks for sharing your codes. I would like to ask how the msg.txt in the dataset ensures that it contains all entities and relationships, and whether there is a split code for ℰinf.
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## Keyword: differential privacy
### State-of-the-Art Approaches to Enhancing Privacy Preservation of Machine Learning Datasets: A Survey
- **Authors:** Chaoyu Zhang
- **Subjects:** Cryptography an…
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hi, your code is causing label leakage.
You used the test and validation sets and edge information during training
wandb_train.py
self.all_edge_index include test edge,val edge
def train(s…
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```
def test(feature_encoder, relation_network, samples, sample_labels, batches, batch_labels):
sample_features = feature_encoder(samples, True)
sample_features = tf.reshape(sample_features…
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Hi,
I find that there maybe data leakage of link predicion experiments.
As shown in the following example, the test link is [35140, 42213], but this test edge has been leaked in your input ne…
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Hey! Great work. I was analyzing your paper, and couldn't figure out if you had reported results from inductive learning experiments. Are Table III results from inductive experiments?
Best.
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您好，我在运行Node Classification这一部分代码时，根据您论文中的设置，用Cora、Citeseer、Pubmed数据集进行 transductive learning，用PPI和Reddit数据集进行inductive learning，所得到的结果和您论文中的结果基本一致。我现在想在Cora、Citeseer、Pubmed数据集上进行inductive learning，于是我…