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The Pytorch implementation demo for our TMM article: Self-consistent Contrastive Attributed Graph Clustering with Pseudo-label Prompt.

Python 100.00%

scagc's Introduction

😄 Hello, I'm Wei Xia

🌱 I'm currently pursuing the Ph.D degree at the Xidian University.
🔭 Multi-modal (view) representation learning, image processing, causal learning, self-supervised learning, unsupervised learning, etc.
🎈 From 2022-6 to 2022-12, I interned as an AI Engineer at Trustworthiness Theory Research Center, Huawei Technologies Co., Ltd, I was fortunately directed by Dr. Wei Zhou. During this period, I also work with Dr. Minglei Li in Huawei Cloud BU about 3D Hyper-realistic Digital Human Technology.

📫 Connect with Me

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scagc's Issues

模型复现问题

您好，我对您的工作很感兴趣，于是复现了一下您的代码，但是遇到了个问题，想和你讨论一下原因。
我Pretrain1训练之后的结果是acc = 0.88 ,nmi = 0.63，但是使用pretrain2加了对比学习训练之后，反而最终结果只有acc = 0.84 nmi = 0.54，这也导致了最后的Final train准确率也只有0.85，和论文结果有些差距，我也在找原因，但是目前没看出来，想和您交流请教谢谢

关于代码

您好：
读了您的文章，但是您没有释放代码，能要一下代码吗？想将您的算法做一个应用试试

谢谢！

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