Results 41 to 50 of about 9,217,308 (160)

A Spatiotemporal Knowledge Graph Construction and Management System [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
To fulfill the current lack of scalable and efficient software systems for constructing and managing spatiotemporal knowledge graphs, this research develops an integrated system that supports full lifecycle knowledge management, multimodal visualization,
X. Zhu, X. Zhu, W. Zhang, J. Yang, Y. Zhang, Y. Zhang, P. Lu, P. Lu, X. Liu, Y. Peng, Y. Peng, R. Li, R. Li, T. Zhao, T. Zhao, X. Wang, X. Wang, X. Di, X. Di   +18 more
doaj   +1 more source

Joint Multilingual Knowledge Graph Completion and Alignment

, 2022
Knowledge graph (KG) alignment and completion are usually treated as two independent tasks. While recent work has leveraged entity and relation alignments from multiple KGs, such as alignments between multilingual KGs with common entities and relations ...
Nguyen, DQ, Huynh, TT, Nguyen, TT, Tong, V, Nguyen, QVH, Niepert, M   +5 more
core  

Type-enhanced Inductive Knowledge Graph Completion

, 2023
Inductive knowledge graph completion has gained significant attention due to the dynamic nature of entities and facts in knowledge graphs (KGs). The goal of this task is to predict missing links between entities that are unseen during training.
Ma, S, Wang, Z, Wang, K, Zhuang, Z
core  

Learning to Walk across Time for Interpretable Temporal Knowledge Graph Completion

, 2021
© 2021 ACM.Static knowledge graphs (KGs), despite their wide usage in relational reasoning and downstream tasks, fall short of realistic modeling of knowledge and facts that are only temporarily valid.
Jung, Jinhong, Jung, Jaehun, Kang, U
core   +1 more source

Temporal Knowledge Graph Completion Based on Temporal-Aware Encoding and Entity Attention Contrast

International Journal of Computational Intelligence Systems
With the increasing volume of temporal data and the expanding range of application domains, research on temporal knowledge graph completion (TKGC) has become a prominent topic in the fields of artificial intelligence and data science.
Xuanqiu Meng, Mei Chen, Ying Pan
doaj   +1 more source

Exploring Relational Semantics for Inductive Knowledge Graph Completion

, 2022
Knowledge graph completion (KGC) aims to infer missing information in incomplete knowledge graphs (KGs). Most previous works only consider the transductive scenario where entities are existing in KGs, which cannot work effectively for the inductive ...
Song, Zeliang, Sha, Ying, Sha, Y, Wang, Changjian, Pan, Shirui, Zhou, Xiaofei, Zhou, X, Dong, L, Dong, Linhua, Wang, C, Song, Z, Pan, S   +11 more
core   +1 more source

Learning Granularity Representation for Temporal Knowledge Graph Completion

15 pages.
Jinchuan Zhang, Tianqi Wan, Chong Mu, Guangxi Lu, Ling Tian   +4 more
openaire   +4 more sources

Learning Temporal Knowledge Graphs via Time-Sensitive Graph Attention

IEEE Access
Embedding-based graph representation learning methods have shown strong performance on knowledge graphs (KGs), but most are designed for static settings and struggle to model temporal dynamics.
Jinqing Shen, Chengjin Xu, Yingqi Liu, Xuhui Jiang, Jiaming Li, Zhenxin Huang, Jens Lehmann, Xuesong Chen   +7 more
doaj   +1 more source

STSE: Spatio-temporal state embedding for knowledge graph completion

Knowledge-Based Systems
Xiaoyu Ji, Yibing Cao, Jiangshui Zhang, Xinke Zhao   +3 more
exaly   +3 more sources

A temporal knowledge graph completion method based on feature interaction enhancement

Discover Computing
Temporal Knowledge Graph Completion (TKGC) aims to infer missing links within Temporal Knowledge Graphs (TKGs). Due to the inherent sparsity and dynamic nature of real-world knowledge, TKGs are often incomplete.
Yunsheng Xu, Xuanqiu Meng, Ying Pan
doaj   +1 more source