Comments (3)
Zhongdao
commented on June 18, 2024
2
This code contains only Mean Aggregation operation. Since the performance gain of Attention Aggregation is small, we do not use it in practice. You can check the paper Graph attention networks and their code for the implementation of Attention Aggregation.
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jxyecn
commented on June 18, 2024
While reading your code, I find that "adjust matrix" A is reinitialized every batch. But from your paper, I understand that this A should be learned end to end. Is there anything wrong?
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jxyecn
commented on June 18, 2024
OK, thanks for your reply!
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Related Issues (20)
- Can the author provide the data preprocessing script
- 请问，GCN 如何使用 batch 训练？这里的batch 是指的 对 node的 分批训练吗？ HOT 1
- 想请问下，我没有改动代码任何地方，但是训练2个batch后precison和recall就变为0了,请问该如何训练出best.ckpt的效果呢
- 计算边分数时， score_dict[e[0], e[1]] = 0.5*(score_dict[e[0], e[1]] + score[i]),这样会导致后遍历到的边分数权重更大，为什么不用真正的平均呢 HOT 1
- 我使用新数据集时，每个batch正样本比例只有1%左右，我使用resnet50提取特征，请问这有什么解决办法吗
- 关于特征提取 HOT 1
- 请问为什么训练的时候没有softmax，而测试的时候使用
- about the features.zip HOT 3
- Extracting features from ArcFace HOT 2
- 关于labels
- 无监督还是有监督？ HOT 3
- About the dataset
- usinng mean aggregation can not satisfy the requriment that G = g(X, A) is an aggregation matrix of size N × N and each row is summed up to 1
- Using code in the new Gpu-s(Python Versions)
- 关于原始数据集
- IJB-B list
- face images of features
- bcubed函数里面，根据我的验证，precision和recall两个变量可能搞反了
- knn上界已经复现了，但我认为graph_propagation的max_sz不太合理，完全可以改成th逐渐递减的模式去划分clusters HOT 1
- why first iteration not use thershold in test code HOT 1
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