-
|논문|Graph Convolutional Networks for Text Classification|
|--|--|
|저자|Liang Yao, Chengsheng Mao, Yuan Luo|
|링크|https://arxiv.org/abs/1809.05679|
|학회|AAAI 2019|
# Contents
## 1. 초록은 뭐라고 말하고 있어 …
-
# On the Global Self-attention Mechanism for Graph Convolutional Networks [[Wang+, 20](https://arxiv.org/abs/2010.10711)]
## Abstract
- Apply Global self-attention (GSA) to GCNs
- GSA allows GCNs…
-
我是新手，论文中的意思是，TextGNN对于新的测试集不能使用（也就是说不能通过保存模型，然后预测），我这样的理解对不对？
那么FastTextGNN可以预测新的测试集，是这样吗？是怎么做到的
-
From [Algorithmic Simplicity](https://www.youtube.com/@algorithmicsimplicity):
- [x] [Why Does Diffusion Work Better than Auto-Regression? - YouTube](https://www.youtube.com/watch?v=zc5NTeJbk-k)
-…
-
-
### 🚀 The feature, motivation and pitch
# Motivation
Intel GPUs could significantly improve the workload performance. As described in [[RFC] Intel GPU Upstreaming](https://github.com/pytorch/pytor…
-
Currently the `Conv2d` layer in ChAI assumes that there must be a learnable bias for the output. (`bias`)
Pytorch support the option to turn this off. See https://pytorch.org/docs/stable/generated/t…
-
Hi, I have a question on the module in your paper, which says "apply a Diffpool layer after two Graphsage layers", "A total of 2 Dffpool layers are used ", "After each Diffpool layer, 3 layers of gra…
-
Please add explicit support for graph-structured data including
- quantum graph kernels
- quantum graph neural networks, particularly quantum graph convolutional networks
-
Hello, I find that you are also engaged in hyperspectral remote sensing image classification. Have you ever tried to use graph convolutional neural network for hyperspectral image classification? Can …