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Hi, many thanks for your work on this amazing package.
There is a paper called ["Spatial Graph Convolutional Networks"](https://arxiv.org/pdf/1909.05310), with accompanying [PyTorch code](https://…
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https://arxiv.org/pdf/1906.01629
```bib
@misc{gasse2019exactcombinatorialoptimizationgraph,
title={Exact Combinatorial Optimization with Graph Convolutional Neural Networks},
author…
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Venue: ICML 2019
Summary: Proposes a simplified linear graph neural network architecture (GCN with non-linearity layers removed). New architecture is significantly faster than the state of the art mo…
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Given the recent popularity of graph convolutional neural networks (i.e. https://github.com/tkipf/gcn), would it be worth implementing a swift paradigmatic version? I have a semi-working version, but …
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I am very interested in your research _Ensemble Manifold Regularized Multi-Modal Graph Convolutional Network for Cognitive Ability Prediction_, and _Integrated Brain Connectivity Analysis with fMRI, D…
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Hey John! Here's the curriculum that I've worked on in the past. It's a bit less focused on language models as a sole topic, and more on modern ML from a broad perspective.
- Essential Concepts of …
zmaas updated
3 months ago
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## Published
Hongyang Gao, Zhengyang Wang, Shuiwang Ji
KDD 2018
## Summary
画像データにおいてCNNが高精度を達成し、非常に大きな影響を与えている。画像データはグラフデータの特定のケースとみなすことができるため、グラフデータに対しても工夫をすることでCNNが適用できると考えられる。
したがって、この論文では…
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1.TexturePose: Supervising Human Mesh Estimation with Texture Consistency(2019)
Texture map (texel): A corresponding UVmap un-warps the template surface onto an image, A, which is the texture map
co…
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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 would like to ask if there is an existing source code for the implementation of graph convolution neural networks.