Results 11 to 20 of about 468,662 (346)

Open-World Knowledge Graph Completion

Proceedings of the AAAI Conference on Artificial Intelligence, 2018
Knowledge Graphs (KGs) have been applied to many tasks including Web search, link prediction, recommendation, natural language processing, and entity linking. However, most KGs are far from complete and are growing at a rapid pace. To address these problems, Knowledge Graph Completion (KGC) has been proposed to improve KGs by filling in
Baoxu Shi, Tim Weninger
core   +6 more sources

Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion [PDF]

The Web Conference, 2020
Human-curated knowledge graphs provide critical supportive information to various natural language processing tasks, but these graphs are usually incomplete, urging auto-completion of them (a.k.a. knowledge graph completion).
Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang   +4 more
semanticscholar   +4 more sources

Temporal Knowledge Graph Completion: A Survey [PDF]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2022
Knowledge graph completion (KGC) predicts missing links and is crucial for real-life knowledge graphs, which widely suffer from incompleteness. KGC methods assume a knowledge graph is static, but that may lead to inaccurate prediction results because ...
Borui Cai, Yong Xiang, Longxiang Gao, Heng Zhang, Yunfeng Li, Jianxin Li   +5 more
semanticscholar   +3 more sources

Towards Structure-aware Model for Multi-modal Knowledge Graph Completion [PDF]

IEEE transactions on multimedia
Knowledge graphs (KGs) play a key role in promoting various multimedia and AI applications. However, with the explosive growth of multi-modal information, traditional knowledge graph completion (KGC) models cannot be directly applied.
Linyu Li, Zhi Jin, Yichi Zhang, Dongming Jin, Chengfeng Dou, Yuanpeng He, Xuan Zhang, Haiyan Zhao   +7 more
openalex   +2 more sources

Explainable drug repurposing via path based knowledge graph completion [PDF]

Sci Rep
Drug repurposing aims to find new therapeutic applications for existing drugs in the pharmaceutical market, leading to significant savings in time and cost.
Ana Jiménez, María José Merino, J. Parras, Santiago Zazo   +3 more
semanticscholar   +2 more sources

ISA-KGC: Integrated Semantics-Structure Analysis in Knowledge Graph Completion [PDF]

IEEE Access
This paper presents Integrated Semantics-Structure Analysis in Knowledge Graph Completion (ISA-KGC), a new framework for Knowledge Graph Completion (KGC) aimed at addressing the incompleteness of knowledge graphs (KGs).
Xingyu Liu, Zhenxing Wang, Yue Sun, Junmei Han, Gang Xiao, Jianchun Jiang   +5 more
doaj   +2 more sources

Knowledge Graph Completion via Complex Tensor Factorization [PDF]

, 2017
38 pages, accepted in JMLR. This is an extended version of the article "Complex embeddings for simple link prediction" (ICML 2016)
Trouillon, T, Dance, CR, Gaussier, E, Welbl, J, Riedel, S, Bouchard, G   +5 more
openaire   +6 more sources

Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network [PDF]

Proc Conf Assoc Comput Linguist Meet, 2021
Justin Lovelace, Denis Newman-Griffis, Shikhar Vashishth, Jill Fain Lehman, Carolyn Penstein Rosé   +4 more
openalex   +2 more sources

MuCo-KGC: Multi-Context-Aware Knowledge Graph Completion [PDF]

Pacific-Asia Conference on Knowledge Discovery and Data Mining
Knowledge graph completion (KGC) seeks to predict missing entities (e.g., heads or tails) or relationships in knowledge graphs (KGs), which often contain incomplete data. Traditional embedding-based methods, such as TransE and ComplEx, have improved tail
Haji Gul, Ajaz Ahmad Bhat, Abdul Ghani Naim   +2 more
openalex   +2 more sources

A Novel Encoder-Decoder Knowledge Graph Completion Model for Robot Brain [PDF]

Front Neurorobot, 2021
Yichen Song, Aiping Li, Hongkui Tu, Kai Chen, Chenchen Li   +4 more
openalex   +2 more sources