Results 51 to 60 of about 8,158 (225)

The Ubiquity of Large Graphs and Surprising Challenges of Graph Processing: Extended Survey

, 2019
Graph processing is becoming increasingly prevalent across many application domains. In spite of this prevalence, there is little research about how graphs are actually used in practice.
Lin, Jimmy, Mhedhbi, Amine, Sahu, Siddhartha, Salihoglu, Semih, Özsu, M. Tamer   +4 more
core   +1 more source

R‐APEX: A Knowledge Graph–Based Platform for the Elucidation of the Toxicological Mechanisms of Ambient Particulate Matter

Advanced Intelligent Systems, Volume 7, Issue 11, November 2025.
R‐APEX is a knowledge graph platform developed to investigate how air pollutants such as particularly fine particulate matter (PM2.5) affect human health. By integrating large‐scale biomedical data and using machine learning, it reveals pollutant–gene–disease associations.
Zhixing Zhu, Jingcheng Yang, Xiaofei Li, Zhijie Zheng, Georgi Z. Genchev, Yuchen Ye, Liang Liu, Zihan Ran   +7 more
wiley   +1 more source

ONTOLOGY BASED TECHNICAL SKILL SIMILARITY [PDF]

, 2018
Online job boards have become a major platform for technical talent procurement and job search. These job portals have given rise to challenging matching and search problems.
Balachander, Yeshwanth Bashyam
core   +1 more source

An introduction to Graph Data Management

, 2017
A graph database is a database where the data structures for the schema and/or instances are modeled as a (labeled)(directed) graph or generalizations of it, and where querying is expressed by graph-oriented operations and type constructors.
A Dries, A Gutiérrez, A Iosup, A Morari, A Poulovassilis, AD Zhu, AO Mendelzon, B Amann, B Elser, C Berge, C Vicknair, C Watters, C Weiss, CS Chang, D Conte, D Dominguez-Sal, D Theodoratos, DC Faye, DW Shipman, EF Codd, FW Tompa, G Malewicz, GM Kuper, H He, HS Kunii, IF Cruz, IF Cruz, J Hidders, J Paredaens, J Peckham, J. Hidders, Jonathan Hayes, K Zeng, L Kowalik, L Zou, M Atre, M Ciglan, M Consens, M Gemis, M Gyssens, M Han, M Levene, M Levene, M Levene, M Mainguenaud, M Schmidt, M Yannakakis, MA Bornea, MA Rodriguez, MA Rodriguez, Marc Andries, MP Consens, MP Consens, N Kiesel, N Roussopoulos, O Erling, P Barceló Baeza, P Buneman, P Yuan, Philippe Cudré-Mauroux, PPS Chen, PT Wood, PT Wood, R Agrawal, R Angles, R Angles, R Brijder, R Ronen, RH Güting, RS Xin, S Abiteboul, S Abiteboul, T Neumann, W Fan, W Kim, Y Guo, Y Low, Y Papakonstantinou, Y Tian, Y Zhao, YA Liu   +80 more
core   +1 more source

Leveraging Neo4j and deep learning for traffic congestion simulation & optimization [PDF]

, 2023
Shyam Pratap Singh, Arshad Ali Khan, Riad Souissi, Syed Adnan Yusuf   +3 more
openalex   +1 more source

Analyzing the Impact of Network Vulnerability Propagation Factor on Cyber Security Risk Assessment in Online Social Networks

Engineering Reports, Volume 7, Issue 11, November 2025.
This study introduces the NVPF metric to quantify cybersecurity risks in online social networks, demonstrating that integrating behavioral, topological, and neighbor‐based features significantly enhances threat detection accuracy—achieving a 24.7% improvement over traditional methods.
Romil Rawat, A. Samson Arun Raj, Hitesh Rawat, Virendra Dani, Anjali Rawat, Anand Rajavat, Yagyanath Rimal   +6 more
wiley   +1 more source

Creating an Intelligent System for Bankruptcy Detection: Semantic data Analysis Integrating Graph Database and Financial Ontology [PDF]

, 2019
In this paper, we propose a novel intelligent methodology to construct a Bankruptcy Prediction Computation Model, which is aimed to execute a company’s financial status analysis accurately.
Bolotov, A., Bolotov, A., Yerashenia, N., Yerashenia, N.   +3 more
core  

Link Prediction using Top-$k$ Shortest Distances

, 2017
In this paper, we apply an efficient top-$k$ shortest distance routing algorithm to the link prediction problem and test its efficacy. We compare the results with other base line and state-of-the-art methods as well as with the shortest path. Our results
Lebedev, Andrei, Lee, JooYoung, Mazzara, Manuel, Rivera, Victor   +3 more
core   +1 more source

Prediction Model for Soybean Productivity [PDF]

Database Systems Journal
This paper presents a holistic approach to biological and agricultural research focused on the use of interconnected technologies in the context of climate change.
Ion GANEA
doaj  

Partitioning based multi-persistence model for multi-paradigm database

Measurement: Sensors, 2023
In the era of Internet of things and social media huge amount of data are generated day by day from numerous sources. The problem for each and every organization is to tackle with the volume, variety and velocity of data.
Manbir Singh Punia, Kamal Malik, Vikash Kumar Garg   +2 more
doaj   +1 more source