一些著名的基于图像的视觉知识提取系统如表2a所示,可用于通过图像标记构建MMKG。根据要链接的符号类别,将图像链接到符号的过程可分为几个细分任务:视觉实体/概念提取(第3.1.1节)、视觉关系提取(第3.1.2节)和视觉事件提取(第3.1.3节)。 (2)用KG标记图像。 符号基础是指找到适当的多模态数据项(如图像)以表示传统...
论文题目:Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey论文链接:http://arxiv.org/abs/2402.05391 引言 本综述深入分析了2020至2023年间超过300篇文献,聚焦于两个主要方向:一是知识图谱驱动的多模态学习(KG4MM),探讨知识图谱如何支持多模态任务;二是多模态知识图谱(MM4KG),研究如何将知识图谱...
The multi-modalization of knowledge graphs is an inevitable key step towards the realization of human-level machine intelligence. The results of this endeavor are Multi-modal Knowledge Graphs (MMKGs). In this survey on MMKGs constructed by texts and images, we first give definitions of MMKGs,...
在讨论子模块之前,我们首先介绍了两个关键组件:多模态知识图谱实体编码器(multi-modal knowledge graph entity encoder)和多模态知识图谱注意层(multi-modal knowledge graph attention layer),它们是KG嵌入模块和推荐模块的基本构建块。 •多模态知识图谱实体编码器,使用不同的编码器嵌入每种特定的数据类型。 •多模...
The multi-modalization of knowledge graphs is an inevitable key step towards the realization of human-level machine intelligence. The results of this endeavor are Multi-modal Knowledge Graphs (MMKGs). In this survey on MMKGs constructed by texts and images, we first give definitions of MMKGs,...
KG-MM-Survey🙌 This repository collects papers integrating Knowledge Graphs (KGs) and Multi-Modal Learning, focusing on research in two principal aspects: KG-driven Multi-Modal (KG4MM) learning, where KGs support multi-modal tasks, and Multi-Modal Knowledge Graph (MM4KG), which extends KG ...
Multi-modal knowledge graphs (MMKG) store structured world knowledge containing rich multi-modal descriptive information. To overcome their inherent incompleteness, multi-modal knowledge graph completion (MMKGC) aims to discover unobserved knowledge from given MMKGs, leveraging both structural information fro...
Code Issues Pull requests Actions Projects Security Insights Additional navigation options main 1Branch0Tags Code README MIT license SNAG In this work, we introduce aUnified Multi-Modal Knowledge Graph (MMKG) Representation Frameworkthat incorporates tailored training objectives for Multi-modal Knowledge Gr...
“Pay attention to doctor-patient dialogues: Multi-modal knowledge graph attention image-text embedding for COVID-19 diagnosis,” Information Fusion (2021) Google Scholar 4 C. Chen, R. Jafari, N. Kehtarnavaz “A survey of depth and inertial sensor fusion for human action recognition,” Multime...
has not yet received much attention compared to those applications. We introduce RECipe as a multi-purpose recipe recommendation framework with a multi-modal knowledge graph (MMKG) backbone. The motivation behind RECipe is to go beyond (deep) neural collaborative filtering (NCF) by recommending recip...