Knowledge Graphs (KGs) play a pivotal role in advancing various AI applications, with the
semantic web community's exploration into multi-modal dimensions unlocking new avenues …

Knowledge graph reasoning (KGR), aiming to deduce new facts from existing facts based on
mined logic rules underlying knowledge graphs (KGs), has become a fast-growing research …

Abstract Knowledge graphs (KG) are vital for extracting and storing knowledge from large
datasets. Current research favors knowledge graph-based recommendation methods, but …

Abstract Knowledge Graphs (KGs) are pivotal in various NLP applications but often grapple
with incompleteness, especially due to the long-tail problem where infrequent, unpopular …

Knowledge-grounded dialogue (KGD) learns to generate an informative response based on
a given dialogue context and external knowledge (eg, knowledge graphs; KGs). Recently …

Abstract Temporal Multi-Modal Knowledge Graphs (TMMKGs) can be regarded as a
synthesis of Temporal Knowledge Graphs (TKGs) and Multi-Modal Knowledge Graphs …

Multi-modal knowledge graphs (MMKG) integrate various modal information such as vision
and text, presenting knowledge structures graphically. With the advancement of artificial …

Multimodal knowledge bases (MMKBs) provide cross-modal aligned knowledge crucial for
multimodal tasks. However, the images in existing MMKBs are generally collected for …

This work presents a unified knowledge protocol, called UKnow, which facilitates knowledge-
based studies from the perspective of data. Particularly focusing on visual and linguistic …

随着数据资源类型的丰富与大模型技术的发展, 能够处理多源异构数据的多模态知识图谱(
multimodal knowledge graph, MMKG) 以出色的数据处理与管理能力而被广泛关注 …