GRAPH ANALYSIS AND INFERENCE
Overview
Graph technology is a technology that uses graph structure to represent entities and their relationships, allowing computers to understand the semantics and relevance of data more deeply by connecting multiple information in data. Graphs are widely used in knowledge management, intelligent search, recommendation systems, and generative AI. For example, knowledge graphs transform vast amounts of structured and unstructured data into a searchable network of associations that help us quickly find the information we need. Graph neural networks use graph structures for deep learning to mine hidden patterns in data. The core value of graph technology lies in its semantic understanding and reasoning ability, which can not only reveal the internal logic of data, but also provide intelligent support for complex decision-making.GRAPH ANALYSIS AND INFERENCE
CORE TECHNOLOGY
- Graph feature extraction and knowledge fusion
- Graph structure algorithms
- Graph neural network learning
- Knowledge Graph Retrieval Enhancement Generation Technology (GraphRAG)
- Multimodal knowledge graph construction and retrieval
- Dynamic graph update and real-time inference
Graph Construction and Application Process
GRAPH ANALYSIS AND INFERENCE
Application Status
Intelligent Analysis Assistant：Through the combination of graph structure and LLM, it provides advanced data analysis, visual report generation and insight sharing services, which can be applied to corporate financial analysis, HR recruitment document review and analysis, etc.
Q&A service：Using GraphRAG technology to provide efficient and accurate real-time knowledge Q&A support for specific fields, it has been applied to services such as Hami Video Q&A, HR Q&A, and enterprise KM file Q&A
Automated knowledge construction：Automatically extract knowledge from diverse data, construct dynamically updated knowledge graphs, and improve knowledge management efficiency. It has been imported and applied to generate video summaries, topic paragraphs, and key tags; Establishment of knowledge association of enterprise documents.
Product recommendation and search：Provide product recommendation and search functions through graph technology. It has been applied to the Hami Video film and television service.
Customer Group and Hashtag Trend Analysis：Use the graph to connect user behavior data to analyze customer preferences, specific hashtag trends, etc. It should be used to provide data trend analysis to optimize film and television procurement investment decisions.