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## Semantic Re-Tuning With Contrastive Tension(ICML2020)
以往的基于无监督的图对比学习算法都是在邻居节点设计正负例,本文利用Diffusion matrix提出了一种全局的视角(multi-view),用普通的GCN网络在很简单的任务上取得了SOTA。
### 信息
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- 主要作者:Kaveh Hassani, …
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## 🚀 Feature
Request to add two graph self-supervised methods to Pytorch Geometric:
(1) heuristic designed graph self-supervised tasks (ICML'20): https://arxiv.org/abs/2006.09136;
code: https:/…
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### Title
Rep2Vec: Repository Embedding via Heterogeneous Graph Adversarial Contrastive Learning
### Link
https://dl.acm.org/doi/abs/10.1145/3534678.3539324
### Year
2022
### Author …
l1tok updated
11 months ago
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I'm very interested in your paper “Towards Expansive and Adaptive Hard Negative Mining: Graph Contrastive Learning via Subspace Preserving”. Can you provide the corresponding code? Thank you very much…
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SUGRL has shown impressive performance and speed. However, the paper Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning found that the representation space p…
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Hello, I read your paper and I think it is a very good `GNN interpretable` work. I think it might inspire me, so I would like to study the details of your code implementation, unfortunately I didn't f…
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Recently I came across some papers on molecular contrastive learning, and it is my great pleasure to find a paper written by your team, named **_Molecular Contrastive Learning of Representations via G…
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How can I use GraphCL for fully unsupervised Graph Clustering?
So far, all that I've found the method for Graph Clustering is actually for node clustering or not a fully unsupervised learning metho…
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The research work is exciting! I noticed that you formulate the automated graph contrastive learning as the min-max optimization problem. May I ask that why not use the bi-level optimization where the…
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Hi! I found that the augmentation "add edge" may not support for the mini-batch graph-level contrastive learning. In my understanding, edges should be added for each graph in the mini-batch case. Coul…