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Community detection is an important application of GNNs. In the paper "Supervised Community Detection with Line Graph Neural Networks", published at ICLR 2019, LGNN is proposed. LGNN operates simultan…
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### Description
### Expected behavior with the suggested feature
- [ ] [ContraRec: "Sequential Recommendation with Multiple Contrast Signals" Wang et al., TOIS'2022.](https://github.com/TH…
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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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https://arxiv.org/abs/1606.09375
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**Spektral** certainly seems promising and easy to get started. Also, it has some good examples for predictive tasks. However, **Spektral** lacks examples of generative models.
_That said, other l…
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Is there a way to visualize a graph for larger convolutional neural networks? For larger ResNets `net_drawer` freezes, since I suppose the output files become rather large. Any ideas?
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## 🚀 Feature
Support for Generative Models
## Motivation
**DGL** is intuitive to use and there are some great examples. However, **DGL** lacks generative models.
I am wondering whether there …
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## 🚀 Feature
Please add implementation for HGCN (https://github.com/HazyResearch/hgcn) and HGNN (https://github.com/facebookresearch/hgnn), if feasible and at your convenience.
## Motivation
…
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### Objective
The goal of this issue is to implement a Graph Convolutional Neural Network (GCNs-Net) model for decoding time-resolved EEG motor imagery signals, as outlined in the paper "[GCNs-Net: A…
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**Lecture Courses**
http://www.robots.ox.ac.uk/~az/lectures/
https://www.gaussianwaves.com/2013/11/simulation-and-analysis-of-white-noise-in-matlab/
https://github.com/oxford-cs-deepnlp-2017
http…