Knowledge graph-enhanced molecular contrastive learning with functional promptYin Fang, Qiang Zhang, Ningyu Zhang, Zhuo Chen, Xiang Zhuang, Xin Shao, Xiaohui Fan & Huajun Chen Nature Machine Intelligence volume 5, pages 542–553 (2023)Cite this article ...
In this paper, we present the Artificial Intelligence Knowledge Graph (AI-KG), a large-scale automatically generated knowledge graph that describes 820K research entities. AI-KG includes about 14M RDF triples and 1.2M reified statements extracted from 333K research publications in the field of AI...
What Is a Knowledge Graph? Aopens in new tabknowledge graphis an advanced data structure that represents information in a network of interlinked entities.It’s connected to a long history of research in an area of artificial intelligence called knowledge representation. Adding an ontology, which des...
A knowledge graph represents a network of real-world entities—such as objects, events, situations or concepts—and illustrates the relationship between them.
Knowledge Graph相对于Database which fold together更加readily available for comparison. 其推理的范围也因此广泛扩大。 三、公司的举例 Franz Inc. is an early innovator in Artificial Intelligence and leading supplier of Semantic Graph Database语义图数据库 technology with expert knowledge in developing and de...
(temporal relationships between components of data). The rich functional and contextual integration of multi-modal, predictive modeling and artificial intelligence is what distinguishes AllegroGraph as a modern, scalable, enterprise analytic platform. AllegroGraph is the first big temporal knowledge graph ...
artificial-intelligenceknowledge-graphkbqna UpdatedNov 16, 2017 Shell Add a description, image, and links to theknowledge-graphtopic page so that developers can more easily learn about it. Add this topic to your repo To associate your repository with theknowledge-graphtopic, visit your repo's la...
According to the 2020 AI in Organizations Survey*, 23% of organizations deployed graph techniques in their artificial intelligence (AI) projects. Large technology companies, public-sector organizations, financial solutions providers, and healthcare led the way, using graph technologies to enhance data...
该论文尝试将特殊领域的知识图谱与预训练语言模型结合,并解决在结合过程中产生的知识噪音和空间异构等问题,提出了一种新的预训练模型K-BERT。这篇论文被发表在了2020年度的Association for the Advancement of Artificial Intelligence(AAAI)会议上。 K-BERT: Enabling Language Representation with Knowledge Graph论文的...
Knowledge graph, together with big data and deep learning, has become one of the core drivers for the development of the Internet and artificial intelligence. According to the type of knowledge, knowledge graphs can be divided into the general knowledge graphs and the professional domain knowledge ...