Knowledge graph for traditional Chinese medicine diagnosis and treatment of diabetic retinopathy: design, construction, and applications [PDF]
AIM: To develop a traditional Chinese medicine (TCM) knowledge graph (KG) for diabetic retinopathy (DR) diagnosis and treatment by integrating literature and medical records, thereby enhancing TCM knowledge accessibility and providing innovative ...
Li Xiao +5 more
doaj +2 more sources
Augmenting Orbital Debris Identification with Neo4j-Enabled Graph-Based Retrieval-Augmented Generation for Multimodal Large Language Models [PDF]
This preliminary study covers the construction and application of a Graph-based Retrieval-Augmented Generation (GraphRAG) system integrating a multimodal LLM, Large Language and Vision Assistant (LLaVA) with graph database software (Neo4j) to enhance LLM
Daniel S. Roll +3 more
doaj +2 more sources
Prediction of Diabetic Macular Edema Using Knowledge Graph
Diabetic macular edema (DME) is a significant complication of diabetes that impacts the eye and is a primary contributor to vision loss in individuals with diabetes.
Zhi-Qing Li +6 more
doaj +1 more source
Construction and application of mine electromechanical equipment accident knowledge graph
It is difficult to judge the root cause of equipment accident from the appearance of coal mine electromechanical equipment accident and part of monitoring data, and there is a lack of effective methods to improve the efficiency of equipment accident ...
LI Zhe +6 more
doaj +1 more source
Use of Graph Database for the Integration of Heterogeneous Biological Data [PDF]
Understanding complex relationships among heterogeneous biological data is one of the fundamental goals in biology. In most cases, diverse biological data are stored in relational databases, such as MySQL and Oracle, which store data in multiple tables ...
Byoung-Ha Yoon +2 more
doaj +1 more source
Substation Operation Sequence Inference Model Based on Deep Reinforcement Learning
At present, substation operation ticket system is developed based on an expert system, which has some problems such as knowledge base redundancy, intelligence deficiency and automatic learning ability.
Tie Chen +3 more
doaj +1 more source
cyNeo4j: connecting Neo4j and Cytoscape [PDF]
Abstract Summary: We developed cyNeo4j, a Cytoscape App to link Cytoscape and Neo4j databases to utilize the performance and storage capacities Neo4j offers. We implemented a Neo4j NetworkAnalyzer, ForceAtlas2 layout and Cypher component to demonstrate the possibilities a distributed setup of Cytoscape and Neo4j have ...
Summer, G. +5 more
openaire +3 more sources
AN EMPIRICAL COMPARISON OF NEO4J AND TIGERGRAPH DATABASES FOR NETWORK CENTRALITY
Graph databases have recently gained a lot of attention in areas where the relationships between data and the data itself are equally important, like the semantic web, social networks, and biological networks.
Bahzad Chicho +1 more
doaj +1 more source
Experimental Evaluation of Graph Databases: JanusGraph, Nebula Graph, Neo4j, and TigerGraph
NoSQL databases were created with the primary goal of addressing the shortcomings in the efficiency of relational databases, and can be of four types: document, column, key-value, and graph databases.
Jéssica Monteiro +2 more
doaj +1 more source
NOSQL DATABASE LOGIC DESIGN METHODS FOR MONGODB AND NEO4J
Modern developers of gaming mobile and Internet applications almost do not imagine themselves without the use of NoSQL databases, if they pursue the goal of creating scalable databases with high-performance and wide functionality.
Oksana Mazurova +2 more
doaj +1 more source

