Knowledge graph embedding with the special orthogonal group in quaternion space for link prediction 2023, Knowledge-Based Systems Citation Excerpt : The first model to do so was RefH [36], proposed by Chami et al. who embedded KGs in hyperbolic space and used reflection to identify links. Refl...
The remaining challenges of knowledge graph reasoning and its applications are discussed. • The review reveals opportunities for future knowledge graph reasoning research. Abstract Mining valuable hidden knowledge from large-scale data relies on the support of reasoning technology. Knowledge graphs, as ...
今天读一篇有关“网络安全行为知识图谱”的文章 原标题 “ A review of knowledge graph application scenarios in cyber security ”,论文地址: A review of knowledge graph application scenarios in cyber s…
The initial features of atoms are determined by their associated eight attributes (for example, chirality, hybridization and atomic mass), and the bonds are embedded by their four related attributes (for example, bond type and conjugated), as detailed in Supplementary Information. In contrastive pre...
A Review of Knowledge Graph Completion Zamini M, Reza H, Rabiei M. A Review of Knowledge Graph Completion. Information. 2022; 13(8):396. 概述 Current real-world knowledge graphs are usuallyincompleteand need aninference engineto predict links andcomplete the missing factsamong entities...
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 the missing entities or relationships in knowledge graph and mining unknown facts. Starting from the definition and types of ...
Such process requires a large amount of information to be processed both by university workers and students. This paper suggests that Knowledge Graphs are a technology that facilitates and enhances KM processes at universities and gives an extended review of a Knowledge Graph phenomenon. 展开 ...
In the last decade, the event knowledge graph field has received significant attention from both academic and industry communities, leading to the proliferated publication of numerous scientific papers in diverse journals, countries, and disciplines. However, a comprehensive and systematic...
A knowledge-given graph is constructed to build the direct connection between two persons. Meanwhile, a knowledge-learned graph is proposed to build the adaptive correlations, which is unique for each input sample. Moreover, we further propose the knowledge embedded graph convolution network (K-...
Temporal Knowledge Graph Completion / Reasoning Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs Woojeong Jin, Meng Qu, Xisen Jin, Xiang Ren. EMNLP 2020. This work is on anextrapolationproblem which is to make predictions at unobserved times, different from in...