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作者大大好,
请问能提供一下你预训练好的文件吗?
我还想请教一下用MVGRL预训练
谢谢大大Orz
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Are there any benefits from using GraphMAE instead of any graph Autoencoder for Unsupervised graph representation problems?
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Hi, I have a question, which part of the code corresponding to the Robust Distance Measuring for Decoding(RDM) mentioned in the paper?
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**What will you do?**
# Query Compilers and Query Optimization
## Traditional Database Query Optimization
Typically, a query compiler translates an input SQL query into the optimal query execution …
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### Describe the project you are working on
A low-res 2D platformer with a high-res UI, smooth camera movement, and zoom.
### Describe the problem or limitation you are having in your project
…
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I have not been able to produce the same inference result between the Python tensorflow model and a tract.
I'm using the pre-trained models [jupyter-keras-tract-tf2/example.onnx](https://github.com…
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您好,感谢您开发出出如此优秀的工具,我尝试在自己的工作中使用您它,但是遇到了一点小问题,在使用自己的sc-RNAs数据时报错_'row.names'里不允许有遗漏值_,我对我使用的数据进行了简单的检查,但没发现具体问题,请问能给我一点具体的建议吗,以下是具体报错的内容和数据结构,我使用的scpagwas包的版本是您在百度网盘上分享的
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#------ Sat Nov 25 11:46:5…
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Hi, I read your paper and it is totally awesome about MTL for graph representation learning. I wonder whether I can use this for text classification since your dataset is mostly graph-structured where…
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I am trying to save a simple LSTM model for text classification. The input of the model is padded vectorized sentences.
```
model = Sequential()
model.add(LSTM(40, input_shape=(16, 32)))
model.add…