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Dear authors,
Firstly, I want to express my gratitude to you for sharing the implementation of your paper. As a master's student working on the multiview object association problem, I found the way…
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### Task motivation
Gene Regulatory Network (GRN) inference is pivotal in systems biology, offering profound insights into the complex mechanisms that govern gene expression and cellular behavior. Th…
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I think an updated readme will help to see how different components are connected, even if the structure of the project might change. I'll volunteer to do this since it will help me get a better sense…
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## 🚀 Feature
### Motivation
paper "[LEARNING TO REPRESENT PROGRAMS WITH GRAPHS](https://arxiv.org/pdf/1711.00740.pdf)" which encode computer programs as graphs, with rich semantic informatio…
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We should add the section, so advanced users can skip certain notebooks / skip to certain sections.
Also rename the section (either "Learning Objectives" or "In this section you'll learn".
| Noteb…
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I am currently working on implementing graph neural networks using the Spektral package in Python. I am trying to include pooling layers (such as TopKPool) in my model, but I am running into dimension…
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PGN with Jax implementation and NeurIPS 2020 paper____
├─Message-Passing Neural Network (MPNN) for Graph Convolutional Networks (GCNs)____
│ ├─■──"Applying Triplet Message Pas…
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- https://arxiv.org/abs/2010.12621
- NeurIPS 2020
グラフニューラルネットワーク（GNN）は、コードの補完、バグの発見、プログラムの修復など、ソフトウェアエンジニアリングのタスクを学習するための強力なツールとして登場しました。
グラフニューラルネットワークは、制御フローグラフのようなプログラム構造を利用することができますが、GNNの伝搬ステ…
e4exp updated
3 years ago
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## 🚀 Feature
From what I've seen (please correct me if I'm wrong), pytorch_geometric assumes that the output of a neural network is a number rather than a graph. What if the output is another graph…
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## 一言でいうと
Graph Convolutionは、グラフ信号に対するローパスフィルタの役割しか果たしていないのではという研究。代表的なデータセット(Cora等)で、高周波成分が有効な特徴を含まない場合(=単なるノイズの場合)にNNとGCNで精度の違いが大きくなることを確認。隣接行列の適用がフィルタに相当するという。
![image](https://user-images.gi…