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Thank you so much for your open source contribution to the graph neural networks!
I have a problem to visualize the model via model.summary, here are my code.
When I try to use model.summary it give…
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## 🚀 Feature
Is there any official implementation of Point Cloud Super Resolution with Adversarial Residual Graph Networks in pytorch_geometric?
Official Code : https://github.com/wuhuikai/Point…
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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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I'm trying to convert fully-convolutional network from TensorFlow to CoreML. In TensorFlow, the input can be an image of arbitrary size hence the initialization for Placeholder is as follows:
```py…
sndre updated
5 years ago
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As I trained, the result of this repository is more accurate than the original paper (SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS) in cora dateset.
What is different from the o…
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大佬您好！我十分有幸拜读了您的文章《Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks》，受益匪浅！我已经跑通了2S-AGCN的代码，想和您请教一下MS-AAGCN的代码该如何运行呢？
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Dear Authors,
I have already read your "Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition".
In that paper, you showed some experimental results in Figure 8 an…
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hi
I am looking for tensorflow implementation of the Relational Graph Convolutional Network (RGCN), is this RGCN code for paper ?
thanks so much.
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- [Graph-based Neural Networks](https://github.com/sungyongs/graph-based-nn)
- [Graph Convolution Networks](http://tkipf.github.io/graph-convolutional-networks/) by Thomas Kipf
- [Geometric Deep Lea…
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## 🚀 Feature
Can kgcn be used as an example of a recommendation system?
Examples of recommendation systems are few.
KGCN involves neighbor sampling, which is a good example of Nodeflow.
It's als…