Results 31 to 40 of about 7,291,916 (317)
Survey on Visualization Query Technology of Knowledge Graph [PDF]
Jisuanji gongcheng, 2020 Knowledge graph,as the development product of symbolism,is considered to be an important part of artificial intelligence technologies and systems,and widely used in encyclopedia knowledge,biological information,social network,network security and so on ...
WANG Xin, FU Qiang, WANG Lin, XU Dawei, WANG Haofen
doaj +1 more source
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models [PDF]
Annual Meeting of the Association for Computational Linguistics, 2023 Large language models (LLMs) have achieved remarkable performance in natural language understanding and generation tasks. However, they often suffer from limitations such as difficulty in incorporating new knowledge, generating hallucinations, and ...
Yilin Wen, Zifeng Wang, Jimeng Sun
semanticscholar +1 more source
Towards Foundation Models for Knowledge Graph Reasoning [PDF]
International Conference on Learning Representations, 2023 Foundation models in language and vision have the ability to run inference on any textual and visual inputs thanks to the transferable representations such as a vocabulary of tokens in language.
Mikhail Galkin +4 more
semanticscholar +1 more source
Towards a biodiversity knowledge graph [PDF]
, 2016 One way to think about "core" biodiversity data is as a network of connected entities, such as taxa, taxonomic names, publications, people, species, sequences, images, and collections that form the "biodiversity knowledge graph".
Page, Roderic
core +3 more sources
Learning Entity and Relation Embeddings for Knowledge Graph Completion
AAAI Conference on Artificial Intelligence, 2015 Knowledge graph completion aims to perform link prediction between entities. In this paper, we consider the approach of knowledge graph embeddings.
Yankai Lin +4 more
semanticscholar +1 more source
Knowledge Graph Quality Management: A Comprehensive Survey
IEEE Transactions on Knowledge and Data Engineering, 2023 As a powerful expression of human knowledge in a structural form, knowledge graph (KG) has drawn great attention from both the academia and the industry and a large number of construction and application technologies have been proposed.
Bingcong Xue, Lei Zou
semanticscholar +1 more source
ChatGPT versus Traditional Question Answering for Knowledge Graphs: Current Status and Future Directions Towards Knowledge Graph Chatbots [PDF]
arXiv.org, 2023 Conversational AI and Question-Answering systems (QASs) for knowledge graphs (KGs) are both emerging research areas: they empower users with natural language interfaces for extracting information easily and effectively.
Reham Omar +3 more
semanticscholar +1 more source
A Dynamic Convolutional Network-Based Model for Knowledge Graph Completion
Information, 2022 Knowledge graph embedding can learn low-rank vector representations for knowledge graph entities and relations, and has been a main research topic for knowledge graph completion.
Haoliang Peng, Yue Wu
doaj +1 more source
Knowledge Graph Embedding by Translating on Hyperplanes
AAAI Conference on Artificial Intelligence, 2014 We deal with embedding a large scale knowledge graph composed of entities and relations into a continuous vector space. TransE is a promising method proposed recently, which is very efficient while achieving state-of-the-art predictive performance ...
Zhen Wang +3 more
semanticscholar +1 more source
Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation [PDF]
arXiv.org, 2023 Language models have achieved impressive performances on dialogue generation tasks. However, when generating responses for a conversation that requires factual knowledge, they are far from perfect, due to an absence of mechanisms to retrieve, encode, and
Minki Kang +3 more
semanticscholar +1 more source