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## ❓ Questions & Help
Hey @rusty1s, I have started to read pytorch scatter cpp and gpu code.
I might some questions as there is not much comments.
As the MessagePassing is doing both index_…
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Post a reading of your own that uses deep learning for social science analysis and understanding, with a focus on strategic sampling and active learning. Here, you may also choose examples that built …
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## 🚀 Feature
Hi, this is researcher from SJTU. We hope to contribute DGL with the ability to cache node features in GPU when it's impossible to hold all features.
## Motivation
When using…
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Hi all,
I've tested progen2 on an antibody Fv for which we've also calculated Facebook's ESM log_likelihood stability values, and we see very little correlation between the two. I've tested it both…
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### 🚀 The feature, motivation and pitch
The goal of this roadmap is to optimize CPU performance for PyG (including `torch_scatter`, `torch_sparse`).
For the first step, we will start with single…
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As part of previous presentation feedback we want to ensure we are taking advantage of the designed curriculum to enable contrastive learning examples. Programmatically within ADAM to compare two diff…
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https://dl.acm.org/doi/fullHtml/10.1145/3426723
注意☠️ : まだかなり斜め読みなので、解釈が誤っているかもです。後半ほどまとめが雑です 🙏
## 概要
Sequential Recommendationの包括的なサーベイ論文。50ページ近くある。以下のようなことがまとめてある。
- Sequential Recommendat…
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Thanks for the code. Good job.
I train graphormer_slim in zinc dataset by bash examples/property_prediction/zinc.sh.
Then I try to evalute it by:
```
python graphormer/evaluate/evaluate.py \
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A new XGBoost error appears to have popped up when calling oce.TOP_MODELS_ADMET()
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MisconfigurationException …
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Hi!
I've run your example on classification of MNIST data. Now I'm randomly changing the adjacency matrix by swapping a large number of random rows and columns and even replacing the matrix of adjace…