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Dear author,
I am very interested in your research on AGCN++ and considering applying it in the field of medicine. Could you please share the code with me? I would greatly appreciate your assis…
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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 …
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作者,您好,我想请教下句法信息文件具体获取的方法,这是我的联系方式vx hujx3696
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## 一言でいうと
Graph Convolutionをプロダクションレベル(30億ノード!)で使用したという金字塔的な論文(Pinterestで使われている)。グラフサイズが膨大なので近傍ノードをサンプリング(ランダムウォーク)で収集しており、収集はCPU・畳み込みはGPUで役割分担しMapReduceで分散処理して高速化している。
### 論文リンク
https://arxi…
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#### Heterogeneous GNN
- [ ] Relational GCN (+ DistMult)
- [x] mini-batch learning (DGL)
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https://chengaf.github.io/afcheng.github.io/2019/10/09/Graph-Convolutional-Network-%E5%8E%9F%E7%90%86%E8%A7%A3%E9%87%8A/
写在前面 思路:为什么提出 GCN  —> 如何从传统意义的 CNN 到 GCN(谱角度解释)—>GCN 的代表性工作(方法的…
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Could I talk to you about the article 《MAGIC: Manifold and Graph Integrative Convolutional Network for Low-Dose CT Reconstruction》?
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Title: - Semi-supervised User Geolocation via Graph Convolutional Networks
Year: - 2018
Venue: - arXiv
**Main Problem**
The authors addresses the problem of inaccurate prediction of user geo-loc…
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Please add explicit support for graph-structured data including
- quantum graph kernels
- quantum graph neural networks, particularly quantum graph convolutional networks
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What do you think of adding Graph Convolutional Networks in a new section on ML and deep learning?
Here are some references:
* https://tkipf.github.io/graph-convolutional-networks/
* https://gi…