图卷积神经网络GCN
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图卷积神经网络在医学等领域的应用
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2018-GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs
2018-GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs摘要1 INTRODUCTION2 NOTATIONS3 RELATED WORK3.1 Neural attention mechanism3.2 Graph convolutional networks on large grap...翻译 2020-05-04 22:51:25 · 4338 阅读 · 6 评论 -
2016-Variational Graph Auto-Encoders
目录1 A latent variable model for graph-structured data1.1 Definitions1.2 Inference model1.3 Generative model(生成模型)1.4 Learning1.5 Non-probabilistic graph auto-encoder (GAE) model2 Experiments on link ...翻译 2020-01-11 21:06:29 · 3148 阅读 · 0 评论 -
2016-Structural Deep Network Embedding
文章目录ABSTRACT1. INTRODUCTION2. RELATED WORK2.1 Deep Neural Network2.2 Network Embedding3. STRUCTURAL DEEP NETWORK EMBEDDING3.1 Problem Definition3.2 The Model3.2.1 Framework3.2.2 Loss Functions3.2.3 O...翻译 2020-01-07 12:38:52 · 518 阅读 · 1 评论 -
2015-LINE: Large-scale Information Network Embedding
LINE: Large-scale Information Network EmbeddingABSTRACT1. INTRODUCTION2. RELATED WORK3. PROBLEM DEFINITION4. LINE: LARGE-SCALE INFORMATION4.1 Model Description4.1.1 LINE with First-order Proximity4.1....原创 2020-01-02 20:55:09 · 1096 阅读 · 2 评论 -
生物医学网络中的图嵌入：方法，应用和评估
文章目录1、研究背景2、图嵌入方法概述3 图嵌入在生物医学网络中的应用3.1 链接预测3.2 节点分类1）蛋白质功能预测2）医学术语语义类型分类3.3 总结4、实验4.1 Datasets4.1.1 链接预测4.1.2 节点分类预测4.2 实验设置4.3 链接预测结果4.4节点分类结果4.5 超参数的影响4.6实验结果总结5 讨论和未来方向6 总结本文在https://zhuanlan.zhih...转载 2020-01-01 23:10:58 · 3093 阅读 · 0 评论