526互联

graph recommendation augmentations contrastive

Sequential Recommendation via Stochastic Self-Attention

Fan Z., Liu Z., Wang A., Nazari Z., Zheng L., Peng H. and Yu P. S. Sequential recommendation via stochastic self-attention. International World Wide W ......
Recommendation Self-Attention Sequential Stochastic Attention

D A Wide, Wide Graph

#include<iostream> #include<algorithm> #include<string.h> using namespace std; typedef long long ll; const int N=1e5+10; int n; int h[N],e[N*2],ne[N*2 ......
Wide Graph

Graph Neural Networks for Link Prediction with Subgraph Sketching

Chamberlain B. P., Shirobokov S., Rossi E., Frasca F., Markovich T., Hammerla N., Bronstein M. M. Hansmire M. Graph neural networks for link predictio ......
Prediction Sketching Networks Subgraph Neural

迁移学习（DCCL）《Domain Confused Contrastive Learning for Unsupervised Domain Adaptation》

论文信息 论文标题：Domain Confused Contrastive Learning for Unsupervised Domain Adaptation论文作者：Quanyu Long, Tianze Luo, Wenya Wang and Sinno Jialin Pan论文来源：NAA ......
Domain Unsupervised Contrastive Adaptation Confused

D. A Wide, Wide Graph

D. A Wide, Wide Graph You are given a tree (a connected graph without cycles) with $n$ vertices. Consider a fixed integer $k$. Then, the graph $G_k$ i ......
Wide Graph

Graph database concepts

Graph database concepts 图数据结构由nodes(离散对象)组成，这些nodes可以通过relationships(关系)连接起来。 Example 1. 图结构的概念. xxxxxxxxxx ​pycharm 图数据库模型由一下属性组成： Nodes 描述域的实体(离散对象) ......
database concepts Graph

文献阅读——The Augmented Image Prior Distilling 1000 Classes by Extrapolating from a Single Image

Y. M. Asano and A. Saeed, ‘THE AUGMENTED IMAGE PRIOR: DISTILLING 1000 CLASSES BY EXTRAPOLATING FROM A SINGLE IMAGE’, 2023. ICLR2023，阿姆斯特丹大学和埃因霍芬理工大学两位 ......
Image Extrapolating Distilling Augmented 文献

迁移学习（CDA）《CDA:Contrastive-adversarial Domain Adaptation 》

论文信息 论文标题：CDA:Contrastive-adversarial Domain Adaptation论文作者：Nishant Yadav, M. Alam, Ahmed K. Farahat, Dipanjan Ghosh, Chetan Gupta, A. Ganguly论文来源：202 ......
Contrastive-adversarial Contrastive adversarial Adaptation CDA

youtube点击位置纠偏论文：《Recommending What Video to Watch Next: A Multitask Ranking System》

背景 在推荐系统存在两个难题： 1. 需要同时优化点击、观看时长、点赞、打分、评论等多个目标，如何同时建模多个目标 2. 存在position bias，即同个视频放在不通位置上点击率等会不同，如何建模position bias youtube这篇论文采用了MMOE来建模多目标，并用一个shallo ......
Recommending Multitask 位置 youtube Ranking

Shader Graph 冲击波特效

冲击波特效 https://www.bilibili.com/video/BV1L341167Y4/?vd_source=106601ca71b1d910c1ac4aa2466b744c https://gamedevbill.com/shockwave-shader-graph/ ......
冲击波 特效 Shader Graph

Uncertainty Quantification for Fairness in Two-Stage Recommender Systems

Wang L. and Joachims T. Uncertainty quantification for fairness in two-stage recommender systems. In International World Wide Web Conference (WWW), 20 ......
Quantification Uncertainty Recommender Two-Stage Fairness

为什么场景图叫图(Graph)而不是叫树(Tree)?

就如它的名字所说的一样，场景图是一个用于组织图形图像数据结构在计算机中显示的应用程序。一个通常的想法是场景往往被分为很多的部分，而出于某种通常的目的，这些部分最终都会被组合到一场，所以，场景图就是一个代表每个结点都可被分割与重组的图。再定义的严格一些，场景图就是一个非循环的图，所以它同时也体现出结点 ......
场景 Graph Tree

npm WARN deprecated core-js@2.6.12: core-js@<3.23.3 is no longer maintained and not recommended for usage due to the number of issues

npm WARN deprecated core-js@2.6.12: core-js@<3.23.3 is no longer maintained and not recommended for usage due to the number of issues. Because of the ......
core-js core recommended deprecated maintained

Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems From a Multi-task Perspective

Zhang Y., Dong X., Ding W., Li B., Jiang P. and Gai K. Divide and Conquer: Towards better embedding-based retrieval for recommender systems from a mul ......
Embedding-based Recommender Perspective Multi-task Embedding

[LeetCode] 2316. Count Unreachable Pairs of Nodes in an Undirected Graph

You are given an integer n. There is an undirected graph with n nodes, numbered from 0 to n - 1. You are given a 2D integer array edges where edges[i] ......
Unreachable Undirected LeetCode Count Graph

A Survey of Diversification Techniques in Search and Recommendation

Wu H., Zhang Y., Ma C., Lyu F., Diaz F. and Liu X. A survey of diversification techniques in search and recommendation. arXiv preprint arXiv:2212.1446 ......
Diversification Recommendation Techniques Survey Search

Measuring the diversity of recommendations: a preference-aware approach for evaluating and adjusting diversity

Meymandpour R. and Davis J. G. Measuring the diversity of recommendations: a preference-aware approach for evaluating and adjusting diversity. Knowled ......
diversity preference-aware recommendations evaluating preference

迁移学习（PCL）《PCL: Proxy-based Contrastive Learning for Domain Generalization》

论文信息 论文标题：PCL: Proxy-based Contrastive Learning for Domain Generalization论文作者：论文来源：论文地址：download 论文代码：download引用次数： 1 前言 域泛化是指从一组不同的源域中训练一个模型，可以直接推广到不 ......
Generalization Contrastive Proxy-based PCL Learning

AIG（And-Inverter Graph）基本概念

1 AIG概述 在前面的博文《Quine-McCluskey两级逻辑化简算法》中，我们介绍了两级逻辑的局限性。事实上主流EDA采用多级逻辑表示大规模布尔函数。本文介绍的AIG就属于多级逻辑表示法的一种。 AIG（AND-INV Graph）是由与门和非门构成的布尔网络，可有效地描述和操作大规模布尔函 ......
And-Inverter Inverter 概念 Graph AIG

图神经网络（GNN，Graph Neural Network）

存稿 ......
神经网络 神经 Network Neural Graph

Graph Classification mini-batch 训练方法

参考资料 colab教程 PyTorch Geometric opts for another approach to achieve parallelization across a number of examples. Here, adjacency matrices are stacked ......
Classification mini-batch 方法 Graph batch

5.运行项目连接Mysql时出现警告Establishing SSL connection without server‘s identity verification is not recommende

jdbc:mysql://localhost:3306/testdb?useSSL=false 添加上述加粗部分,即可解决该警告,标红参数前面为你数据库连接URL,如果有多个参数记得用&连接,例如 jdbc:mysql://localhost:3306/testdb?characterEncodin ......
Establishing verification connection recommende identity

Debiased Contrastive Learning of Unsupervised Sentence Representations 论文精读

ACL2022-long paper 原文地址 1. 介绍(Introduction) 问题: 由PLM编码得到的句子表示在方向上分布不均匀, 在向量空间中占据一个狭窄的锥形区域, 这在很大程度上限制了它们的表达能力. 已有的解决办法: 对比学习. 对于一个原句, 构造他的正例(语义相似的句子)和负 ......
Representations Unsupervised Contrastive Debiased Learning

论文解读（CAN）《Contrastive Adaptation Network for Unsupervised Domain Adaptation》

论文信息 论文标题：Contrastive Adaptation Network for Unsupervised Domain Adaptation论文作者：Guoliang Kang, Lu Jiang, Yi Yang, Alexander G Hauptmann论文来源：CVPR 2019论 ......
Adaptation Unsupervised Contrastive Network Domain

虚假新闻检测-迁移学习（CADM）《Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup》

论文信息 论文标题：Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup论文作者：Huimin Zeng, Zhenrui Yue, Ziyi ......
Domain Unsupervised Adversarial Contrastive Information

TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion 增量时序知识图谱补全论文解读

论文网址：https://dl.acm.org/doi/10.1145/3404835.3462961 Arxiv：https://arxiv.org/abs/2104.08419 论文提出一种用增量学习思想做时序知识图谱补全（Temporal Knowledge Graph Completion, ......
时序 图谱 增量 Embedding-based Incremental

Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion 小样本知识图谱补全论文解读

小样本知识图补全——关系学习。论文利用三元组的邻域信息，提升模型的关系表示学习，来实现小样本的链接预测。主要应用的思想和模型包括：GAT（图注意力神经网络）、TransH、SLTM、Model-Agnostic Meta-Learning (MAML)。 论文地址：https://arxiv.org ......
图谱 样本 Relational Aggregator Completion

论文解读（PCL）《Probabilistic Contrastive Learning for Domain Adaptation》

论文信息 论文标题：Probabilistic Contrastive Learning for Domain Adaptation论文作者：Junjie Li, Yixin Zhang, Zilei Wang, Keyu Tu论文来源：aRxiv 2022论文地址：download 论文代码：do ......
Probabilistic Contrastive Adaptation Learning Domain

Graph Neural Network——图神经网络

本文是跟着李沐老师的论文精度系列进行GNN的学习的，详细链接请见：零基础多图详解图神经网络（GNN/GCN）【论文精读】 该论文的标题为《A Gentle Introduction to Graph Neural Networks》，是对GNN的简介。那么论文的第一张图呢把鼠标放上去某一个结点将会表 ......
神经网络 神经 Network Neural Graph
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