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# [Roadmap]
## 1.6.1
* [x] [**`WikiCSDataset`**](https://pytorch-geometric.readthedocs.io/en/latest/modules/datasets.html#torch_geometric.datasets.WikiCS)
* [x] **`DeepGCN`**
* [x] [`GENConv…
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https://liu.qijiong.work/2022/11/19/One-paper-was-accepted-by-AAAI-2023/
Continual Graph Convolutional Networks for Text ClassificationTiandeng WU*, Qijiong LIU*, Yao HUANG, Yi CAO, Xiao-Ming WU#, …
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Introduce a deeper network.
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Can this code (pygcn) be used directly in transductive learning? I notice that the train loss (in train.py) is calculated as `loss_train = F.nll_loss(output[idx_train], labels[idx_train])`, but in pap…
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The current Keras to MDF conversion pipeline only works when the Keras model contains an Input Layer and/ Flatten Layers and / Dense Layers. It uses a function that checks the types of layers in the K…
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[Graph neural network-inspired kernels for gaussian processes in semi-supervised learning](https://arxiv.org/abs/2302.05828)
```bib
@article{niu2023graph,
title={Graph neural network-inspired ker…
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"SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS" 这偏论文是半监督的，直推式的。（1）euler 平台中 gcn_supervised 的实现是按有监督方法处理的吗？可以预测未知节点吗？（2）跟graphsage的区别只体现在邻接矩阵和聚合函数吗？（3）transductive在公式上是如何体现的？ 劳烦解…
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### Description
Hi creators of Stellargraph. First of all, great work on this package!
I have one question, I would like to also work with time-series on graphs with graph convolutional networks…
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## 집현전 중급반 스터디
- 2022년 7월 10일 일요일 9시
- 김은서님 발표
- 논문 링크: https://arxiv.org/abs/1710.10903
> ### Abstract
> We present graph attention networks (GATs), novel neural network architectures that ope…
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I want to implement the pytorch version of your work. But confused about the parameters of gcn layer. Can you introduce it with a formula or something?
Look forward to your reply.