AI Agent 
Celebrating the 73rd Anniversary of the People’s Republic of China When you search for information, watch the news, scroll through short videos, or shop, every piece of content that resonates with you may be influenced by the role of a knowledge graph. What Is a Knowledge Graph A knowledge graph is a graph-based data structure, … Read more
The process of constructing a knowledge graph is a continuous iterative process that combines human and machine, primarily driven by machine learning, with expert definitions and corrections. The tasks requiring human intervention include schema definition, preparation of partially structured knowledge, and verification of machine learning results. Based on user feedback, the increase and update of … Read more
When you search for information, read news, scroll through short videos, or shop, every piece of content that moves you may be influenced by the knowledge graph. What Is a Knowledge Graph A knowledge graph is a graph-based data structure that is essentially a semantic network. It displays complex domains of knowledge through data mining, … Read more
When you search for information, read the news, scroll through short videos, or shop, every piece of content that moves you may be influenced by the role of a knowledge graph. What Is a Knowledge Graph A knowledge graph is a graph-based data structure that is essentially a semantic network. It displays complex knowledge domains … Read more
Artificial intelligence is becoming commonplace. In the medical field, doctors are increasingly recognizing the efficiency and therapeutic value brought by AI in disease diagnosis. To achieve medical artificial intelligence, it is necessary to construct a medical knowledge graph to meet the application needs of knowledge in the medical field. ◆ ◆ ◆ What is a … Read more
Approximately 7500 words, suggested reading time 16 minutes. This article introduces a new knowledge graph diffusion model named DiffKG, which combines generative diffusion models with data augmentation paradigms to achieve robust knowledge graph representation learning. The importance of knowledge graphs (graph networks) in recommendation systems is self-evident, but not all relationships are relevant to the … Read more
In recent years, with the deepening application of big data and artificial intelligence technologies in the financial industry, a rapid development of financial technology driven by numerous AI applications has emerged. Knowledge graphs, recognized as the third generation of artificial intelligence technology, are gradually penetrating various application areas in finance, providing deeper information analysis and … Read more
1 Introduction to Knowledge Graphs A knowledge graph is a large-scale semantic network that represents the real world in a semantic format. It represents entities as nodes, and the properties of entities and the relationships between entities as edges, forming a network structure. This structured form is recognizable by humans and friendly to machines, facilitating … Read more
The Knowledge Graph is a successful application of knowledge engineering, an important branch of artificial intelligence, in the context of big data. Together with big data and deep learning, knowledge graphs have become one of the core driving forces behind the development of the internet and artificial intelligence. Based on this background, the Research Report … Read more
(Scan the QR code at the bottom of this page to learn more) A knowledge graph is a graph structure used to describe knowledge and information, organizing and representing knowledge by representing entities, concepts, and their relationships as nodes and edges. By organizing knowledge in the form of a graph, knowledge graphs can conveniently represent … Read more