network

Graph Neural Networks with Adaptive Residual

目录概符号说明AirGNN代码 Liu X., Ding J., Jin W., Xu H., Ma Y., Liu Z. and Tang J. Graph neural networks with adaptive residual. NIPS, 2021. 概 基于 UGNN 框架的一个更加鲁 ......
Adaptive Networks Residual Neural Graph

virtualbox 安装 本地redis和mysql环境,用nat network模式

1. 安装centos 7.9 ,关闭selinux 和firewalld,否则连不上。 2. 配置网卡,ip需和nat network配对 TYPE="Ethernet" PROXY_METHOD="none" BROWSER_ONLY="no" BOOTPROTO="static" DEFROU ......
virtualbox network 模式 环境 redis

Is Homophily a Necessity for Graph Neural Networks?

目录概 Ma Y., Liu X., Shah N. and Tang J. Is homophily a necessity for graph neural networks? ICLR, 2022. 概 探究 Homophily 假设 (即相互连接的结点相似) 对于 GCN 发挥效果是否是必须 ......
Homophily Necessity Networks Neural Graph

【CVPR2023】Learning A Sparse Transformer Network for Effective Image Deraining

论文:https://readpaper.com/paper/4736105248993591297 代码:https://github.com/cschenxiang/DRSformer Transformer 模型通常使用标准的 QKV 三件套进行计算,但是部分来自 K 的 token 与来自 ......

centos7.9重启网卡提示Failed to start LSB: Bring up/down networking.

前几天给一台机器状态centos7.9系统,设备有2个网口,今天重启网卡一直失败, 查看network状态,怀疑是eth0网卡有问题 查看eth0的网卡配置,发现是eth0网卡的BOOTPROTO=dhcp,且ONBOOT=yes,但eth0网口没插网线,这导致重启网卡时,一直重启eth0,但是没插 ......
网卡 networking centos7 centos Failed

华为最高学术成果发表 —— 《Nature》正刊发表论文《Accurate medium-range global weather forecasting with 3D neural networks》

论文《Accurate medium-range global weather forecasting with 3D neural networks》的《Nature》地址: https://www.nature.com/articles/s41586-023-06185-3.pdf 论文的代码地 ......

关于 Chrome 开发者工具 Network 面板里观察到的 net ERR_CERT_AUTHORITY_INVALID 错误

我在 Chrome 访问一个网站时,在 Chrome 开发者工具 Network 面板里观察到的 net ERR_CERT_AUTHORITY_INVALID 错误: net::ERR_CERT_AUTHORITY_INVALID 这种错误通常会在你试图访问的网站的 SSL 证书存在问题时出现。 S ......

GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks

目录概符号说明GraphPrompt代码 Liu Z., Yu X., Fang Y. and Zhang X. GraphPrompt: Unifying pre-training and downstream tasks for graph neural networks. WWW, 2023. ......

2023ACMMM_Mutual Information-driven Triple Interaction Network for Efficient Image Dehazing

一. Motivation 之前网络存在的缺点: 1. 使用的有限的频域信息 2. 不充足的信息交互 : (1) 第一阶段的输出直接作为第二阶段的输入,忽略了中间特征从早期到后期的传播 (2) 在编码器解码器结构同尺度之间进行特征融合,忽略了阶段内和跨阶段的跨尺度信息交换 3. 严重的特征冗余:中间 ......

GPT-GNN: Generative Pre-Training of Graph Neural Networks

目录概符号说明GPT-GNN代码 Hu Z., Dong Y., Wang K., Chang K. and Sun Y. GPT-GNN: Generative pre-training of graph neural networks. KDD, 2020. 概 比较早的一篇图预训练模型. 符号 ......

2023ICLR_SFNet: Selective frequency network for image restoration

1. 在运行SFNet代码时,前后代码保持不变,运行两次结果发生变化, 把下面这段代码注掉就可以保持前后两次运行结果一致,不确定是否是nn.BatchNorm2d计算均值和方差导致 class dynamic_filter(nn.Module): def __init__(self, inchann ......

Matching Network算法概述

什么是Matching Network 1. 论文地址:Matching Networks for One Shot Learning 2. 简介:基于Metric Learning部分思想,使用外部记忆来增强网络,提高网络的学习能力。 3. 创新点 借鉴了注意力和外部记忆方面的经验来搭建网络 基于 ......
算法 Matching Network

【论文阅读】DeepAR Probabilistic forecasting with autoregressive recurrent networks

原始题目:DeepAR: Probabilistic forecasting with autoregressive recurrent networks 中文翻译:DeepAR:自回归递归网络的概率预测 发表时间:2020年07月 平台:International Journal of Forec ......

centos7 执行 systemctl restart network 报错解决

问题描述: 安装虚拟机器-->安装centos7 x64,使用MobaXterm_Personal_23.2.exe 连接centos, 报错如下图: Job for network.service failed because the control process exited with err ......
systemctl centos7 restart network centos

课程一第四周:Deep L-layer neural network

Deep L-layer neural network What is a deep neural network? 深层的神经网络就是包含了更多隐藏层的神经网络。 从某种意义上来说,logistic regression可以称为一层的神经网络“1 layer NN”。当计算神经网络的层数,通常将输 ......
L-layer network 课程 neural layer

CentOS7 虚拟机 ping network is unreachable

ping 指令提示network is unreachable 重启网络报错 尝试禁用重启网络的方式无效 直接dhclient -v指令解决。。。 ......
unreachable CentOS7 network CentOS ping

: Only one usage of each socket address (protocol/network address/port) is normally permitted.

2023/10/16 19:07:45 tick2023/10/16 19:07:46 dial tcp 7.11.12.26:3309: connectex: Only one usage of each socket address (protocol/network address/port) ......
address permitted normally protocol network

论文阅读(四)—— Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

![image](https://img2023.cnblogs.com/blog/3279428/202310/3279428-20231016232154691-2008412580.png) ![image](https://img2023.cnblogs.com/blog/3279428/2... ......

Sequence to Sequence Learning with Neural Networks

Sequence to Sequence Learning with Neural Networks 关键词:LSTM,Seq2Seq 📜 研究主题 采用深度神经网络DNN 使用LSTM,并翻转输入句子顺序提升性能 ✨创新点: 更换seq2seq中RNN单元为LSTM,有提升对长句子训练速度的可能 ......
Sequence Learning Networks Neural with

论文:Very deep convolutional networks for large-scale image recognition-VGG

论文名: Very deep convolutional networks for large-scale image recognition "用于大规模图像识别的深度卷积网络" 了解VGG模型 研究问题: 研究方法: 主要结论: 模型: 问题: 行文结构梳理: ......

Networking

Computer networks use network protocols to communicate with each other. Network protocols are often abstracted into different layers. For example, Ope ......
Networking

Triangle Graph Interest Network for Click-through Rate Prediction

目录概TGINMotivation: Triangle 的重要性Model代码 Jiang W., Jiao Y., Wang Q., Liang C., Guo L., Zhang Y., Sun Z., Xiong Y. and Zhu Y. Triangle graph interest ne ......

Dual Graph enhanced Embedding Neural Network for CTR Prediction

目录概DG-ENN Guo W., Su R., Tan R., Guo H., Zhang Y., Liu Z., Tang R. and He X. Dual graph enhanced embedding neural network for ctr prediction. KDD, 202 ......
Prediction Embedding enhanced Network Neural

Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction

目录概Fi-GNN代码 Li Z., Cui Z., Wu S., Zhang X. and Wang L. Fi-GNN: Modeling feature interactions via graph neural networks for ctr prediction. CIKM, 2019. ......

Convolutional Neural Networks(CNN)

数学基础 卷积 卷积这一概念从最原始来说属于一种数学的运算方法,两个数列进行卷积,是指将一个数列翻转后,从另一个数列最左侧开始滑动求和 来到计算机科学中,由于卷积核往往采用对称矩阵,所以翻转这一动作实际就可以忽略掉了。通过卷积核中数据的不同排列,实现提取出输入图片中的特定特征。 训练 + 预测 目前 ......
Convolutional Networks Neural CNN

状态: 失败 -测试失败: IO 错误: The Network Adapter could not establish the connection (CONNECTION_ID=BMRc/8PgR2+0i4PK2tnHQA==)

1.问题 问题如标题所示,在使用Oracle SQL Developer连接时发现错误: 状态: 失败 -测试失败: IO 错误: The Network Adapter could not establish the connection (CONNECTION_ID=BMRc/8PgR2+0i4 ......

GNNExplainer: Generating Explanations for Graph Neural Networks论文阅读笔记

GNNExplainer: Generating Explanations for Graph Neural Networks论文阅读笔记 摘要 ​ 因为结合图结构和特征信息会导致复杂的模型,解释GNN的预测没有得到解决,所有提出了一个GNNExplainer,是第一个通用的,与模型无关的方法,可以 ......

GAN(生成对抗网络,Generative Adversarial Network)

生成对抗网络(GAN)是一种深度学习模型架构,由生成器(Generator)和判别器(Discriminator)两个神经网络组成。这两个网络之间进行博弈式训练。 生成器(Generator):生成器是一个神经网络模型,它接收一个随机噪声向量作为输入,并试图生成与训练数据相似的新数据样本。生成器的目 ......
Adversarial Generative Network 网络 GAN

AlexNet模型:ImageNet Classification with Deep Convolutional Neural Networks

文献名:ImageNet Classification with Deep Convolutional Neural Networks 创新点: 首次利用AlexNet神经网络,在ImageNet分类中以巨大的优势打败非神经网络算法 模型: ......

《ImageNet Classification with Deep Convolutional Neural Networks》阅读笔记

论文标题 《ImageNet Classification with Deep Convolutional Neural Networks》 ImageNet :经典的划时代的数据集 Deep Convolutional:深度卷积在当时还处于比较少提及的地位,当时主导的是传统机器学习算法 作者 一作 ......