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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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### Deep Learning Simplified Repository (Proposing new issue)
⭐ **Detect PCOS using ML** :
⭐ **CNN Architecture to Detect PCOS from Ovarian Ultrasound Images and and Statistical Data** :
⭐ **Data…
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[1609.02907] Semi-Supervised Classification with Graph Convolutional Networks
https://arxiv.org/abs/1609.02907
TN Kipf, M Welling - arXiv preprint arXiv:1609.02907, 2016
![image](https://user-ima…
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I was wondering if this package is based on the [geometric deep learning](https://geometricdeeplearning.com/) by Michael Bronstein et.al.? Can this package do the 5G(Grids,Graphs,Groups,Geodesics&Ga…
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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…
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I took it a long time ago and we used Keras and TF but I want to learn Pytorch now.
Are the videos and curriculum mostly the same, just implementation is in Pytorch?
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关于第21页的5个G,我觉着还有一种可能,指代的是Grids, Groups, Graphs, Geodesics, and Gauges五个单词开头的G,而不是世代
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Pytorch geometric is a great package for geometric deep learning, focused on learning on arbitrary graphs as well as on 3D meshes or point clouds. We could think on how we can interact with it.
htt…
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Convolutional Neural Networks, Recurrent Neural Networks, and other deep learning approaches have achieved unprecedented performance on a broad range of problems (e.g. Computer Vision and Speech Recog…
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I saw that the most recent version of the paper for dreamcoder uses E-graphs and not fragment grammars.
Thus I was wondering how E-graphs and implemented so that they work nicelty with python and d…