Knowledge graphs: Opportunities and challenges
With the explosive growth of artificial intelligence (AI) and big data, it has become vitally
important to organize and represent the enormous volume of knowledge appropriately. As …
important to organize and represent the enormous volume of knowledge appropriately. As …
A survey on knowledge graphs: Representation, acquisition, and applications
Human knowledge provides a formal understanding of the world. Knowledge graphs that
represent structural relations between entities have become an increasingly popular …
represent structural relations between entities have become an increasingly popular …
A-okvqa: A benchmark for visual question answering using world knowledge
Abstract The Visual Question Answering (VQA) task aspires to provide a meaningful testbed
for the development of AI models that can jointly reason over visual and natural language …
for the development of AI models that can jointly reason over visual and natural language …
Knowledge base graph embedding module design for Visual question answering model
In this paper, a knowledge base graph embedding module is constructed to extend the
versatility of knowledge-based VQA (Visual Question Answering) models. The knowledge …
versatility of knowledge-based VQA (Visual Question Answering) models. The knowledge …
What is semantic communication? A view on conveying meaning in the era of machine intelligence
In the 1940s, Claude Shannon developed the information theory focusing on quantifying the
maximum data rate that can be supported by a communication channel. Guided by this …
maximum data rate that can be supported by a communication channel. Guided by this …
Neurosymbolic AI: the 3rd wave
Abstract Current advances in Artificial Intelligence (AI) and Machine Learning have achieved
unprecedented impact across research communities and industry. Nevertheless, concerns …
unprecedented impact across research communities and industry. Nevertheless, concerns …
A review: Knowledge reasoning over knowledge graph
X Chen, S Jia, Y Xiang - Expert systems with applications, 2020 - Elsevier
Mining valuable hidden knowledge from large-scale data relies on the support of reasoning
technology. Knowledge graphs, as a new type of knowledge representation, have gained …
technology. Knowledge graphs, as a new type of knowledge representation, have gained …
Knowledge graph completion: A review
Z Chen, Y Wang, B Zhao, J Cheng, X Zhao… - Ieee …, 2020 - ieeexplore.ieee.org
Knowledge graph completion (KGC) is a hot topic in knowledge graph construction and
related applications, which aims to complete the structure of knowledge graph by predicting …
related applications, which aims to complete the structure of knowledge graph by predicting …
Rotate: Knowledge graph embedding by relational rotation in complex space
We study the problem of learning representations of entities and relations in knowledge
graphs for predicting missing links. The success of such a task heavily relies on the ability of …
graphs for predicting missing links. The success of such a task heavily relies on the ability of …