图分类《Hierarchical Graph Representation Learning with Differentiable Pooling》阅读笔记

时间 2020-12-30

标签机器学习 GNNs 繁體版

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图分类《Hierarchical Graph Representation Learning with Differentiable Pooling》阅读笔记 Abstract 对于graph neural networks (GNNs)，大体上分三种任务：Node Classification，Link Prediction和 Graph Classification。本文关注的是Graph C

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1. 13.Hierarchical Graph Representation Learning with Differentiable Pooling
2. Hierarchical Graph Representation Learning with Differentiable Pooling摘要
3. [DIFFPOOL] - Hierarchical Graph Representation Learning with Differentiable Pooling 图分类 NeurIPS 2018
4. [DIFFPOOL 图分类] - Hierarchical Graph Representation Learning with Differentiable Pooling NeurIPS 2018
5. 阅读笔记Graph Representation Learning--Chapter5
6. 【论文阅读-HGP-SL】Hierarchical Graph Pooling with Structure Learning
7. 阅读笔记 CCL: Cross-modal Correlation Learning with Multi-grained Fusion by Hierarchical Network
8. FeUdal Networks for Hierarchical Reinforcement Learning 阅读笔记
9. 论文阅读笔记《Meta-learning with differentiable closed-form solvers》
10. K-BERT: Enabling Language Representation with Knowledge Graph阅读笔记
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1. 13.Hierarchical Graph Representation Learning with Differentiable Pooling
2. Hierarchical Graph Representation Learning with Differentiable Pooling摘要
3. [DIFFPOOL] - Hierarchical Graph Representation Learning with Differentiable Pooling 图分类 NeurIPS 2018
4. [DIFFPOOL 图分类] - Hierarchical Graph Representation Learning with Differentiable Pooling NeurIPS 2018
5. 阅读笔记Graph Representation Learning--Chapter5
6. 【论文阅读-HGP-SL】Hierarchical Graph Pooling with Structure Learning
7. 阅读笔记 CCL: Cross-modal Correlation Learning with Multi-grained Fusion by Hierarchical Network
8. FeUdal Networks for Hierarchical Reinforcement Learning 阅读笔记
9. 论文阅读笔记《Meta-learning with differentiable closed-form solvers》
10. K-BERT: Enabling Language Representation with Knowledge Graph阅读笔记

>>更多相关文章<<