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## 一言でいうと
文書分類にGraph Convolutionを適用した研究。ノードとして文書・単語双方をとっており、文書=>単語の重みはTF-IDF、単語=>単語の重みはコーパス全体の共起(PMI)をとっている。単語分散表現なしにCNNやLSTMのモデルを上回る効果を出せている。ただ、テストセットのノードが既知であるTransductive設定
![image](https://u…
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Hi,
I have got a question about the implementaion of graph convolution in this repository.
According to your code [here](https://github.com/Uason-Chen/CTR-GCN/blob/main/graph/tools.py#L28), you…
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Hi,
Thanks for sharing your code! I have got a question about the implementaion of graph convolution in this code.
According to [here](https://github.com/zhysora/FR-Head/blob/main/graph/tools.py…
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Hi,
I have the same issue referenced at the end of https://github.com/tensorflow/graphics/issues/13
Namely the ops SparseReshape does not seem to have GPU support.
My code runs fine with automa…
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I was browsing through the graph convolution code and saw the [reduction code](https://github.com/tensorflow/graphics/blob/228472e31327635e80220a740f13d672252bec9f/tensorflow_graphics/geometry/convolu…
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Hi, I would like to ask if there is an existing source code for the implementation of graph convolution neural networks.
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### Main problem:
The main problem of the paper is the ability to train graph convolutional networks (GCNs) on dynamic graphs, which are graphs that change over time.
### Applications:
The propos…
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Currently the one example shows building a Convolutional auto-encoder, and training it on the MNIST dataset.
I think it would be really useful if there were some other examples of using the packag…
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## 一言でいうと
Graph Convolutionと強化学習を組み合わせて、化合物を生成する研究。Graph Convolutionにより各ノードの特徴を計算し(結合方式を加味している)、行動としてLink Predictionの要領で2つのノードと結合方式を決定する。本物との識別性(敵対的loss)と結合ルール(原子価)、ドメイン固有の物性を報酬とする
![image](http…
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Hi
I want to design a convolution graph model that returns an embedded vector from the molecular structure. In deepchem tutorials, there is a convolution graph, but it is not possible to get output v…