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there is no code of Stochastic Multiple Partitions and Issues of training deeper GCNs...
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When I run the code:
```
root@e62eeb3b75c5:/home/deep_gcns_torch-master/deep_gcns_torch-master# CUDA_VISIBLE_DEVICES=0,1 python examples/sem_seg_sparse/train.py --multi_gpus --phase train --train_p…
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no code for DeepGCN+FLAG on ogbg-molpcba and ogbg-code
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## 🚀 Feature
Request to add DeepGCNs (ICCV'2019 Oral) to Pytorch Geometric.
Journal extension: https://arxiv.org/abs/1910.06849
ICCV Paper: http://openaccess.thecvf.com/content_ICCV_2019/papers/L…
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Hello! I would like to know: What is your version of PyTorch？1.2.0？or>=1.4.0
Thank you !
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## 🐛 Bug
## To Reproduce
Steps to reproduce the behavior:
1. Define model with GraphConv layer and set `norm=right`
2. Train model and evaluate error/metrics on train data
3. Metrics lo…
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Hi, your work is great and interests me a lot.
In the class **GENConv**, should the output dimension of **edge_encoder** be **in_dim** instead of **emb_dim**, especially when the **in_dim** doesn't…
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hi, @lightaime
I'm a beginner in GCN. In many papers, I see that GCN has a graph Laplacian matrix, but you don't seem to use it. How do you implement graph convolution?
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When I try to run the train code of Part Segmentation on PartNet, I got this issue, can you help?
Traceback (most recent call last):
File "main.py", line 13, in
from utils import scale_translate_…
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v0.5 Release
===
[Enhancement] Distributed GNN training
---
- [ ] Enable distributed computation for all core sampling/randomwalk APIs
- [ ] Distributed graph store design and implementation
- […