Multimodal Knowledge Learning for Named Entity Disambiguation: EMNLP-findings: 2022: Relation-enhanced Negative Sampling for Multimodal Knowledge Graph Completion: ACM Multimedia: 2022: VISTA: ...

Multimodal knowledge graph embedding refers to learning multimodal entities and their relation representations in a low-dimensional space. However, existing multimodal embedding models tend to ignore ...

Multimodal knowledge graphs are typically represented as heterogeneous graphs, serving as crucial structures for depicting data that integrates various modalities, such as text, images, and audio, ...

This repository contains a set of microservices to create, process, and query a multimodal knowledge graph from various input sources like text, images, and audio. The system is built using Docker and ...

This study utilizes CiteSpace visualization technology and bibliometric methods to analyze scientific knowledge graphs based on literature from CNKI regarding China’s multimodal transport of maritime ...

AI Mode lets users ask complex or multi-part questions, ones that once needed several searches and receive a synthesised ...