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## 🚀 Feature
- [degree specific GNN](https://arxiv.org/pdf/1906.02319.pdf) with implementation in TF
- [structure aware GNN](https://arxiv.org/pdf/2008.12010.pdf) which is just a preprint for now,…
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# [Roadmap]
## 1.6.1
* [x] [**`WikiCSDataset`**](https://pytorch-geometric.readthedocs.io/en/latest/modules/datasets.html#torch_geometric.datasets.WikiCS)
* [x] **`DeepGCN`**
* [x] [`GENConv…
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```
First of all, i want to thank the author for this implementation. It brings a
lot of useful informations, it is often easy to understand and use but can i
perform multiple classification with th…
-
```
First of all, i want to thank the author for this implementation. It brings a
lot of useful informations, it is often easy to understand and use but can i
perform multiple classification with th…
-
```
First of all, i want to thank the author for this implementation. It brings a
lot of useful informations, it is often easy to understand and use but can i
perform multiple classification with th…
-
```
First of all, i want to thank the author for this implementation. It brings a
lot of useful informations, it is often easy to understand and use but can i
perform multiple classification with th…
-
```
First of all, i want to thank the author for this implementation. It brings a
lot of useful informations, it is often easy to understand and use but can i
perform multiple classification with th…
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[Deep Learning Powered In-Session Contextual Ranking using Clickthrough Data](http://ftp.cs.wisc.edu/machine-learning/shavlik-group/li.nips14.pdf)
[Techniques for Deep Query Understanding ](https://a…
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Thanks for making transformers much more approachable! The down side of this may be stupid questions from beginners like me (still, I hope this is not one). In the NLP results the five different datas…
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This issue will focus on the problem of assigning backend (cpu, acl_cl, acl_neon) per operation, such as to optimize performance. The end-goal of the on-going work is to develop a computational algori…