In this paper, based on common-sense concepts information of entities from a concept graph, we propose aKnowledge Graph Embedding with Concepts (KEC)model that embeds entities and concepts of entities jointly into a semantic space. The fact triplets from a knowledge graph are adjusted by the ...
A knowledge graph can show the process of knowledge development and the relationship between the structure through a series of different graphics and can also describe knowledge resources and their carriers by visualization technology. Its nodes represent entities or concepts, and its edges represent var...
一.什么是知识图谱 知识(Knowledge)可以理解为 精炼的数据,知识图谱(Knowledge Graph)即是对知识的图形化表示,本质上是一种大规模语义网络 (semantic network) – 富含实体(entity)、 概念(concepts) 及其之间的各种语义关系 (semantic relationships),比如 知识图谱和人工智能: 知识图谱的理想状态: 给所有IOT设备和机...
"Knowledge graph embedding with concepts". Knowledge-based Systems 2019. Sci 2. Impact 5.921. Cite 24. paper 🔥 💥 (ProjFE) Huajing Liu, Luyi Bai, Xiangnan Ma, Wenting Yu, Changming Xu. "ProjFE: Prediction of fuzzy entity and relation for knowledge graph completion". Applied Soft ...
Research and Application of Mathematical Knowledge Graph Based on Ontology Learning Chapter © 2022 Gradual Study Advising with Course Knowledge Graphs Chapter © 2023 Constructing an Educational Knowledge Graph with Concepts Linked to Wikipedia Article 30 September 2021 Explore...
Fan M, Zhou Q, Chang E, et al.Transition-based knowledge graph embedding with relational mapping properties. Proceedings of the 28th Pacific Asia Conference on Language, Information and Computing. 2014. (TransM) Xiao H, Huang M, Zhu X. From one point to a manifold:Knowledge graph embedding ...
knowledge graph embedding; concept; hierarchical structure; representation learning1. Introduction Concepts, as an important part of ontology, and instances collectively compose entities in knowledge bases such as Wordnet [1], YAGO [2] and Freebase [3]. Knowledge Graph Embedding (KGE) encodes ...
Guo S, Wang Q, Wang L, et al.Knowledge graph embedding with iterative guidance from soft rules. AAAI. 2018. (RUGE) Ding B, Wang Q, Wang B, et al.Improving knowledge graph embedding using simple constraints. arXiv preprint arXiv:1805.02408, 2018. ...
A knowledge graph is a structured representation of information that organizes data into nodes (entities) and edges (relationships) to show how different pieces of knowledge are interconnected. It enables enhanced data integration, search, and inference by modeling the relationships between concepts and...
The final prediction is produced with a two-stage aggregation mechanism with the above concepts. Full size image With the rapid development of multimodal learning, there has been a surge of studies on CLIP-based pathology vision-language models13,14,15,16,17,18. Following the principle of ...