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Thanks for sharing such a neat implementation
When I try to understand the effect of the motion prior, I ran inference without the motion prior by commenting off the following lines:
https://gith…
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感觉都是输入全图然后mask测试集的label，
就是sample上的区别？
@Jhy1993 谢谢！
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感觉都是输入全图然后mask测试集的label，
就是sample上的区别？
@yao8839836 谢谢！
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## ❓ Questions and Help
I am trying to run the Pytorch experiment on the Pinsage model. For nowplaying_rs dataset, if I use hidden dimension 1024, "CUDA out of memory" error occurs. For smaller dimen…
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Difference of the model design.
It seems the difference is that GraphSAGE sample the data.
But what is the difference in model architecture.
Thank you very much.
@williamleif
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1. Can we use own processing of datasets, i.e., normalizing the size of all picture in a dataset and packaging it into a large tensor for storage.
2. Can Transductive Inference [1] be us…
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## 🐛 Bug
It appears that `torch_sparse.SparseTensor` causes problems when calling `torch_geometric.data.Data.num_nodes`. I get the following error:
```
-----------------------------------------…
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Thanks for sharing your codes. I tried to train a model on DAVIS2017 dataset, but I found there's no file named "annotation_centroids.npy", which should be loaded here. Do you plan to share this file …
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Hi, for attribute based approaches, is there a way to get embeddings at test time on unseen data ?
For example: after `embedder.fit(graph, X)` , can i input for example `embbeder.predict([some unsee…
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Hi, I have a question regards to the competition rule.
For the transductive setting, do we allow to use intra-class relationships for data? For example, if we have a similarity matrix (shape 100 *…