GNN Pooling(三)：An End-to-End Deep Learning Architecture for Graph Classification，AAAI2018；以及圖核
目錄 核，圖核，圖卷積核 Deep Graph Convolutional Neural Network (DGCNN) Graph convolution layers Connection with Weisfeiler-Lehman subtree kernel Connection with propagation kernel The SortPooling layer Remainin
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相關文章
- 1. GNN中的Graph Pooling
- 2. GNN Pooling(一)：Graph U-Nets，ICML2019
- 3. [AAAI2018]Learning Structured Representation Representation for Text Classification via Reinforcemen
- 4. Week1.3 Simple deep learning for text classification
- 5. 《Deep learning for time series classification a review》筆記
- 6. GNN Pooling(十一)：Edge Contraction Pooling for Graph Neural Networks，2019
- 7. Deep Learning for Extreme Multi-label Text Classification
- 8. Hierarchical combinatorial deep learning architecture for pancreas segmentation-筆記
- 9. 13.Hierarchical Graph Representation Learning with Differentiable Pooling
- 10. Deep learning：二十三(Convolution和Pooling練習)