2 Attentional Graph Neural Network 图1 基于注意力图卷积的停车位检测算法:首先提取拼接的环视图的特征,然后检测停车位点;提取的停车位点的特征信息和位置信息送入注意力图卷积网络聚合近邻信息;最后判断两个停车位点是否组成停车 2-1 Graph Feature Encoder 将特征提取网络提取的图像特征,然后送入停车位点检测器,...
Joint recommendationsMutualistic modelGraph neural networkAttentionMany social studies and practical cases suggest that people's consumption behaviors and social behaviors are not isolated but interrelated. However, most existing research either predicts users' consumption preference or recommends friends to ...
Part I of this paper describes a model for the parallel development and adult coding of neural feature detectors. It shows how any set of arbitrary spatial... S Grossberg - 《Biological Cybernetics》 被引量: 1375发表: 1976年 The ...
Attentional Graph Neural Network for Parking Slot Detection Repository for the paper "Attentional Graph Neural Network for Parking Slot Detection". @article{gcn-parking-slot:2020, title={Attentional Graph Neural Network for Parking Slot Detection}, author={M. Chen, J. Xu, L. Xiao, D. Zhao eta...
Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network - JiangBioLab/DeepTalk
Graph Embedding Layer:利用rating和content information组成异构图,从而生成user/item的embedding,与传统的只考虑user-item interaction不同,作者同时考虑了user-item,user-user和item-item这三种关系。Graph Embedding可以分为下面三个部分 Document Embedding:通过Doc2vec生成document embedding,生成的步骤如下 ...
Graph-based Attention Machanism 使用了传统attention机制的encoder-decoder框架可以有效地提高机器翻译等应用的性能。但是,对于文本摘要这样的篇章级任务来说,其表示能力还是远远不足的。为了提高文本摘要的质量,本文借鉴了TextRank的思想(与PageRank类似):在文档中,当一个句子与很多重要的句子有很高的相关度时,该句子必...
Single-Image Crowd Counting via Multi-Column Convolutional Neural Network是CVPR2016的一篇论文。 Abstract 本文旨在开发一种方法,该方法可以从具有任意人群密度和任意角度的单个图像准确估计人群数量。为此,我们提出了一种简单高效的多列卷积神经网(MCNN)架构,以预测人群密度图。MCNN允许输入图像具有任意大小或分... ...
Graph neural network and machine learning analysis of functional neuroimaging for understanding schizophrenia BMC Neurosci. (2024) M.J. Rantala et al. Schizophrenia: the New Etiological Synthesis (2022) AmiraBryll, WirginiaKrzy'sciak, Paulina Karcz, Maciej Pilecki, Natalia Smierciak, Marta Szwajca...
(meditation minus rest). PositiveICohdifference values reflect meditation-related increase. Right hemisphere pairs are indicated above each graph. Y-axis—non-dimensionalICohdifference values. U-shape dependency on meditation expertise indicating a most pronounced increase in synchronization in least and ...