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### Description
**StellarGraph** is interesting and easy to get started. Also, it has some good examples for predictive tasks. However, **StellarGraph** lacks examples of generative models.
I a…
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## 🚀 Feature
Support for Generative Models
## Motivation
**DGL** is intuitive to use and there are some great examples. However, **DGL** lacks generative models.
I am wondering whether there …
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I ran the following program with the attached `ggnn.onnx` in [ggnn.zip](https://github.com/pfnet-research/menoh/files/2352221/ggnn.zip).
```c
#include
#include
#define ERROR_CHECK(statement)…
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Hi Steve,
I found that if I use the build_vocab script in current OpenNMT_py version (2.0.0), the output vocab file is not compatible with the ggnn encoder. It will raise such a error.
```
Trac…
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I am trying to predict molecular properties using a pre-traind model. Howeber, I find that the predicted values are changing with a different number of input molecules and a different batchsize parame…
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Some ideas for figures to add to the PPT
- [ ] Linear regression, single-layer neural network
- [ ] Multilayer Perceptron with hidden layer
- [ ] Backpropagation
- [ ] Batch Normalization and al…
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Hi,
When I dig into your implementation, I do not understand how the recall rate is computed?
W…
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Hello,
It is fantastic, so cool.
Following to your guide, I try to test pre-trained model but I am not sure my result is right or not.
Step1. which path do these arguments(--exp, --reload) ha…
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Another topic I would like to investigate (as always) is the convolution over structural data since language has structure.
Related works are Tree-structured Convolution and GCNs. Since we will com…
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## 🚀 Feature
The current implementation of the Gated Graph Neural Network (class GatedGraphConv) doesn't support typed edges.
While the original paper [1] doesn't talk about this in detail, the MS…