Results 1 to 10 of about 3,684,752 (344)

Testing Graph Database Systems via Graph-Aware Metamorphic Relations

Proceedings of the VLDB Endowment, 2023
Graph database systems (GDBs) have supported many important real-world applications such as social networks, logistics, and path planning. Meanwhile, logic bugs are also prevalent in GDBs, leading to incorrect results and severe consequences.
Zeyang Zhuang, Penghui Li, Pingchuan Ma, Wei Meng, Shuai Wang   +4 more
semanticscholar   +1 more source

Finding bugs in Gremlin-based graph database systems via Randomized differential testing

International Symposium on Software Testing and Analysis, 2022
Graph database systems (GDBs) allow efficiently storing and retrieving graph data, and have become the critical component in many applications, e.g., knowledge graphs, social networks, and fraud detection.
Yingying Zheng, Wensheng Dou, Yicheng Wang, Zheng Qin, Leile Tang, Yu Gao, Dong Wang, Wei Wang, Jun Wei   +8 more
semanticscholar   +1 more source

ByteGraph: A High-Performance Distributed Graph Database in ByteDance

Proceedings of the VLDB Endowment, 2022
Most products at ByteDance, e.g., TikTok, Douyin, and Toutiao, naturally generate massive amounts of graph data. To efficiently store, query and update massive graph data is challenging for the broad range of products at ByteDance with various ...
Changji Li, Hongzhi Chen, Shuai Zhang, Ying-Xin Hu, Chao Chen, Zhenjie Zhang, Meng, Li, Xiangchen Li, Dongqing Han, Xiaohui Chen, Xudong Wang, Hui-dong Zhu, Xu-Dong Fu, Ting Wu, Hongfei Tan, Hengtian Ding, Meng-Ti Liu, Kangsheng Wang, Ting Ye, Lei Li, Xin Li, Yu Wang, Chen Zheng, Han Yang, James Cheng   +25 more
semanticscholar   +1 more source

Query-based Performance Comparison of Graph Database and Relational Database

Symposium on Information and Communication Technology, 2022
A graph database is a type of NoSQL database that uses graph structure for semantic queries with nodes, edges, and properties to represent and store data.
T. Do, Thai-Bao Mai-Hoang, Van-Quyet Nguyen, Quyet-Thang Huynh   +3 more
semanticscholar   +1 more source

UniKG: A Unified Interoperable Knowledge Graph Database System

IEEE International Conference on Data Engineering, 2021
Knowledge graph currently has two main data models: RDF graph and property graph. The query language on RDF graph is SPARQL, while the query language on property graph is mainly Cypher.
Baozhu Liu, Xin Wang, Pengkai Liu, Sizhuo Li, Qiang Fu, Yunpeng Chai   +5 more
semanticscholar   +1 more source

Designing Graph Databases With GRAPHED

Journal of Database Management, 2019
In recent years, graph database systems have become very popular and been deployed mainly in situations where the relationship between data is significant, such as in social networks. Although they do not require a particular schema design, a data model contributes to their consistency.
Gustavo Cordeiro Galvão Van Erven, Rommel Novaes Carvalho, Waldeyr Mendes Cordeiro da Silva, Sergio Lifschitz, Harley Vera-Olivera, Maristela Holanda   +5 more
openaire   +2 more sources

Issues and Concepts of Graph Database and a Comparative Analysis on list of Graph Database tools

International Conference on Computational Collective Intelligence, 2020
The work is review in nature and focuses on basic concepts and example on Graph Database with a special focus on list of standard computerized tools available for handling the queries using graph database structure.
Anupam Das, A. Mitra, Surendra Nath Bhagat, Subrata Paul   +3 more
semanticscholar   +1 more source

An Attack Path Generation Methods Based on Graph Database

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), 2020
With the popularity of network technology and the expansion of network scale, the network security risks are increasingly serious. Network vulnerability assessment methods, a technology of active network security defense, have attracted many researchers.
Bintao Yuan, Zulie Pan, Fan Shi, Zhenhan Li   +3 more
semanticscholar   +1 more source

Construction of typhoon disaster knowledge graph based on graph database Neo4j

Chinese Control and Decision Conference, 2020
The typhoon knowledge graph can correlate various kinds of information in the typhoon data, conduct overall and related analysis, and finally provide effective assistance for typhoon prevention and post-disaster protection. The data of typhoon landing in
Pengcheng Liu, Yinliang Huang, Ping Wang, Qifan Zhao, Juan Nie, Yuyang Tang, Lebin Sun, Hailei Wang, Xuelian Wu, Wenbo Li   +9 more
semanticscholar   +1 more source

Incorruptible Auditing: Blockchain-Powered Graph Database Management

International Conference on Blockchain, 2020
In modern and interconnected world, information is accumulatively stored digitally, making the process of exchanging, gathering and querying the information much easier.
Victor Ermolaev, Indrek Klangberg, Yash Madhwal, Silver Vapper, Sjoerd Wels, Yury Yanovich   +5 more
semanticscholar   +1 more source