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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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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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### Title
Hypergraph Convolutional Recurrent Neural Network
### URL
(https://tmpfiles.org/dl/3316673/yirnn.pdf)
### Summary
The paper by Jaehyuk Yi and Jinkyoo Park introduces a hypergraph co…
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[SuiteSparseGraphBLAS.jl](https://github.com/JuliaSparse/SuiteSparseGraphBLAS.jl) provide the sparse representation of a graph and have better performance on algebraic operations, relative to `SparseM…
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Suggested list of courses would be:
- An introduction to deep learning **
- How to train a neural network
- Regularisation in neural networks
- Deep Bayesian neural networks
- Conv…
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1.PARE: Part Attention Regressor for 3D Human Body Estimation(2021)
img-->volumetric features(before the global average pooling)-->part branch: estimates attention weights +feature branch: performs S…
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1. Non Euclidean Space data 중, Graph Handling 에 대한 전반적인 소개
2. 리뷰할 논문
- [Geometric Deep Learning: Going Beyond Euclidean Data](https://arxiv.org/pdf/1611.08097.pdf)
- [Revisiting Semi-Supervised L…
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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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* [ ] 1. [Hierarchical Pooling in Graph Neural Networks to Enhance Classification Performance in Large Datasets](https://www.mdpi.com/1424-8220/21/18/6070/htm)
* [ ] 2. [Hierarchical Graph Pooling wi…
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Structured data arises in a few of the domains discussed throughout the review. For example, CNNs perform tremendously for many tasks based on data from a regular graph like images ([subsection here](…