http://www.bing.com:80/search?q=Computer+Science+Knowledge+Graph搜索结果http://www.bing.com:80/s/a/rsslogo.gifhttp://www.bing.com:80/search?q=Computer+Science+Knowledge+Graph版权所有 © 2026 Microsoft。保留所有权利。不得以任何方式或出于任何目的使用、复制或传输这些 XML 结果，除非出于个人的非商业用途在 RSS 聚合器中呈现必应结果。对这些结果的任何其他使用都需要获得 Microsoft Corporation 的明确书面许可。一经访问此网页或以任何方式使用这些结果，即表示您同意受上述限制的约束。https://iswc2022.semanticweb.org/wp-content/uploads/2022/11/978-3-031-19433-7_39.pdfCS-KG offers a much more comprehensive representation of research concepts in Computer Science than alternative knowledge bases and can support a wide variety of intelligent services.周四, 02 4月 2026 01:21:00 GMThttps://dl.acm.org/doi/abs/10.1007/978-3-031-19433-7_39In this paper, we introduce the Computer Science Knowledge Graph (CS-KG), a large-scale knowledge graph composed by over 350 M RDF triples describing 41 M statements from 6.7 M articles about 10 M entities linked by 179 semantic relations.周日, 29 3月 2026 13:50:00 GMThttps://cs520.stanford.edu/CS 520 Knowledge Graphs Data Models, Knowledge Acquisition, Inference and Applications Department of Computer Science, Stanford University, Spring 2021 Tuesdays 4:30-5:50 P.M. PDT and Thursdays 4:30-5:50 P.M. PDT周日, 05 4月 2026 05:49:00 GMThttps://dl.acm.org/doi/10.1145/3447772In this article, we provide a comprehensive introduction to knowledge graphs, which have recently garnered significant attention from both industry and academia in scenarios that require exploiting diverse, dynamic, large-scale collections of data. After some opening remarks, we motivate and contrast various graph-based data models, as well as languages used to query and validate knowledge ...周日, 05 4月 2026 14:17:00 GMThttps://link.springer.com/chapter/10.1007/978-3-030-70665-4_84The construction and analysis method of the course knowledge graph of computing courses will lead to a prospective field for knowledge learning in computer science with data support. It could also extended to various disciplines other than computer sciences.周日, 29 3月 2026 09:18:00 GMThttps://www.mdpi.com/2076-3417/14/7/2710Knowledge graphs, as a crucial component of artificial intelligence, can contribute to the quality of teaching. This study proposes an educational knowledge graph based on course information named CourseKG for precision teaching. Precision teaching seeks to individualize the curriculum for each learner and optimize learning efficiency.周六, 04 4月 2026 09:39:00 GMThttps://oro.open.ac.uk/85306/In this paper, we introduce the Computer Science Knowledge Graph (CS-KG), a large-scale knowledge graph composed by over 350M RDF triples describing 41M statements from 6.7M articles about 10M entities linked by 179 semantic relations.周六, 07 3月 2026 02:06:00 GMThttps://link.springer.com/article/10.1007/s42979-025-04277-7This paper presents a state-of-the-art review analyzing the integration of Large Language Models (LLMs), Knowledge Graphs (KGs), and Reinforcement Learning (RL) in decision-making systems. We evaluate methodologies that enhance predictive accuracy and contextual coherence. Our findings support a hybrid KG-RL framework to improve performance through adaptable learning. This review synthesizes ...周三, 01 4月 2026 02:05:00 GMThttps://link.springer.com/article/10.1007/s13042-025-02625-wTemporal knowledge graph (TKG) representation learning is a pivotal task aimed at transforming entities and relations within TKG from a high-dimensional vector space to a lower-dimensional vector space, while preserving the relational features inherent in TKG. TKG comprises a sequence of knowledge graphs (KGs) at various timestamps. Presently, existing methodologies tend to either focus solely ...周日, 05 4月 2026 09:24:00 GMThttps://link.springer.com/chapter/10.1007/978-3-031-21756-2_3Computer Science Named Entity Recognition in the Open Research Knowledge Graph Conference paper First Online: 07 December 2022 pp 35–45 Cite this conference paper Download book PDF Download book EPUB From Born-Physical to Born-Virtual: Augmenting Intelligence in Digital Libraries (ICADL 2022)周一, 30 3月 2026 23:14:00 GMT