Existing survey papers of heterogeneous graph representation learning summarize all possible embedding techniques for graphs and make insufficient analysis for deep neural network models. To tackle this issue, in this paper, we systematically summarize and analyze existing heterogeneous graph neural networks ...
属性辅助异构图嵌入方法旨在对复杂结构和多个属性进行编码,以学习节点嵌入。与直接融合邻居属性更新节点嵌入的图神经网络(graph neural network, GNNs)不同,由于节点和边的类型不同,HGNNs需要克服属性的异质性,设计有效的融合方法来利用邻居信息,这带来了更多的挑战。在本节中,我们将异构网络表示分为无监督和半监督。
To study a general heterogeneous graph embedding model framework, we explore how to generate node embeddings in heterogeneous graphs by a graph neural network without using a meta-path. However, it is not easy to generate node embeddings in heterogeneous graphs by graph neural networks without ...
5. 根据Graph Context Loss损失函数进行优化 最终得到每个节点的向量表示用于下游任务 参考文献: Zhang C , Song D , Huang C , et al. Heterogeneous Graph Neural Network[C]// the 25th ACM SIGKDD International Conference. ACM, 2019.
In this work, we aim to provide a unified framework to deeply summarize and evaluate existing research on heterogeneous network embedding (HNE), which includes but goes beyond a normal survey. Since there has already been a broad body of HNE algorithms, as the first contribution of this work,...
机器翻译 AI理解论文&经典十问 挑战十问 Request failed with status code 503 Survey on categorical data for neural networks Heterogeneous Graph Neural Network 社区问答 我要提问 Q1 论文试图解决什么问题? Q2 这是否是一个新的问题? Q3 这篇文章要验证一个什么科学假设?
目录 前言 方法分类 Benchmark 前言 原文链接:Heterogeneous Network,还有一篇Survey也挺好的,可以参照,HGT作者写的:Another Survey(更侧重于Attention的解释) 文章的几个亮点:1. 系统的对常见的异构图进行分类,并提供了较为统一的范式助于理解 2. 创建了四个Benchmark数据集进行异构图性能的统一比较 3. 提供了分析...
Amalgamating Knowledge from Heterogeneous Graph Neural Networks Yongcheng Jing1, Yiding Yang2, Xinchao Wang3,2, Mingli Song4, Dacheng Tao1 1The University of Sydney, 2Stevens Institute of Technology, 3National University of Singapore, 4Zhejiang University {yjin9495, dache...
Higher-Order Heterogeneous Graph Convolutional Network Based on Meta-Paths Wanting Zhao, Hao Xu, Wenzhuo Huang, Jinkui Xie 2020 Heterogeneous graph neural networks analysis: a survey of techniques, evaluations and applications Rui Bing, Guan Yuan, Mu Zhu, Fan...
04 石川 - 北京邮电大学计算机学院教授 heterogeneous graph neural network and its applications in E-commerce.pdf 2020-04-05上传 暂无简介 文档格式: .pdf 文档大小: 14.28M 文档页数: 54页 顶/踩数: 0/0 收藏人数: 0 评论次数: 0 文档热度: ...