Enhancing cybersecurity through autonomous knowledge graph construction by integrating heterogeneous data sources by Hatoon Alharbi, Ali Hur, Hasan Alkahtani, Hafiz Farooq Ahmad

“…Cybersecurity plays a critical role in today’s modern human society, and leveraging knowledge graphs can enhance cybersecurity and privacy in the cyberspace. …”
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GS-DTA: integrating graph and sequence models for predicting drug-target binding affinity by Junwei Luo, Ziguang Zhu, Zhenhan Xu, Chuanle Xiao, Jingjing Wei, Jiquan Shen

“…However, some current methods have certain shortcomings in focusing on important nodes in drug molecular graphs and dealing with complex structural molecules. …”
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Inverse Sum Indeg Spectrum of <i>q</i>-Broom-like Graphs and Applications by Fareeha Jamal, Nafaa Chbili, Muhammad Imran

“…The conclusions made in this article can help chemists and pharmacists research alkaloids’ structures for applications in industry, pharmacy, agriculture, and daily life.…”
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APPLYING GRAPH THEORY TO OPTIMIZE PRODUCT DELIVERY ROUTES AND MINIMIZE COSTS IN THE RESTAURANT BUSINESS by Наталія Волосова, Наталія Стеблюк, Наталія Небаба, Олена Юдіна, Максим Корнєєв, Ганна Богородицька

“…A scientific and methodological basis is proposed for the use of graph theory parameters and algorithms to optimize delivery routes, which helps minimize product costs in the restaurant business, taking into account the financial component. …”
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Research on network attack analysis method based on attack graph of absorbing Markov chain by Haiyan KANG, Molan LONG

“…Existing intrusion path studies based on attack graph lack consideration of factors other than basic network environment information when calculating the state transition probability.In order to analyze the security of target network comprehensively and reasonably, a network attack analysis method based on attack graph of absorbing Markov chain was proposed.Firstly, a state transition probability normalization algorithm based on vulnerability life cycle was proposed based on attack graph.Secondly, the attack graph was mapped to the absorbing Markov chain and the state transition probability matrix was given.Finally, the state transition probability matrix was calculated to comprehensively analyze the node threat degree, attack path length and expected impact of the target network.The results show that the proposed method can effectively analyze the expected influence of node threat degree, attack path length and vulnerability life cycle on the whole network, which is helpful for security research personnel to better understand the security state of the network.…”
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An Analysis on the Markovian Model for Production Management and Establishment of New Pharmacies Using Hyper Graph by Anitha Florence F. Vinola, G. Padma, Prabu Velusamy

“…This paper mainly deals with the various machines, pharmacies, and different methods, namely, Nonadjacency Search Method and Adjacency Search Method applied through the Hyper graph. Comparison made between Nonadjacency Search Method and Adjacency Search Method through hyper assignments using cliques helps us to obtain tremendous profit through effective production and to start new pharmacies, instead of predictions through computational methods. …”
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SEAGET: Seasonal and active hours guided graph enhanced transformer for the next POI recommendation by Alif Al Hasan, Md. Musfique Anwar

“…Next POI (Point of Interest) recommendation is essential for helping users and service providers by providing personalized recommendations. …”
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Didactics of the Fundamentals of Computer Programming with a Computational Thinking Approach Based on Turtle Graphs by Jesus Insuasti, Edwin Insuasty, Alexander Baron

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GMFLDA: Improved Prediction of lncRNA-Disease Association via Graph Convolutional Network by Kwangsu Kim, Jihwan Ha

“…The rapid expansion of diverse networks has created a growing need to integrate multiple heterogeneous structures to effectively capture both inter- and intra-entity relationships. This integration helps preserve the intrinsic meaning of complex biological interactions. …”
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Development and application of knowledge graph-based spatiotemporal data model for urban physical examination by Sijia Wang, Jun Chen, Dongyang Hou, Xiaoguang Zhou, Bingliang Cui, Xiaoyang Zhang, Yu Wang, Dongyuan Li, Junyu Cui, Silong Luo, Qiankun Kang

“…In view of the above, this paper proposes a knowledge graph-based spatiotemporal data model for the urban physical examination. …”
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Selective Auditory Attention Detection Using Combined Transformer and Convolutional Graph Neural Networks by Masoud Geravanchizadeh, Amir Shaygan Asl, Sebelan Danishvar

“…Here, the first EEG signals are converted to graphs. We then extract attention information from these graphs using spatial and temporal approaches. …”
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Study of Graphene Networks and Line Graph of Graphene Networks via NM-Polynomial and Topological Indices by Jie Wu, Saima Nazeer, Iftikhar Ahmed, Farkhanda Yasmin

“…The topological invariants are related to the molecular graph of the chemical structure and are numerical numbers that help us to understand the topology of the concerned chemical structure. …”
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Gods, graves and graphs – social and semantic network analysis based on Ancient Egyptian and Indian corpora by Frederik Elwert, Simone Gerhards, Sven Sellmer

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Approximation of Algebraic Curves in Function Spaces of Topological Sequences Connected to Specific Simple Graph Families by Mohammad Mazyad Hazzazi, Muhammad Imran, Muhammad Nadeem, Muhammad Kamran, Samuel Asefa Fufa

“…By constructing linear and exponential algebraic curves, we characterise the mathematical interactions regulating the evolution of these sequences and explain how the structural qualities of graphs affect their topological properties. These algebraic curves provide new approaches to comprehend complicated networks and help address graph-theoretic problems in combinatorics, network research, and computational geometry.…”
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When one graph judgment leads to another: Signal detection analysis of base rate effects by Ethan C. Guthrie, Anthony J. Bishara

“…Graphs can help people arrive at data-supported conclusions. …”
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A Graph-Based Method for Tactical Planning of Lane-Level Driving Tasks in the Outlook Region by Qiang Zhang, Hsin Guan

“…The proposed method is implemented using a directed graph-based approach and simulation tests are conducted. …”
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Knowledge Graph Construction Method for Commercial Aircraft Fault Diagnosis Based on Logic Diagram Model by Huanchun Peng, Weidong Yang

“…Then, the logic diagram is sorted out to obtain the hidden fault knowledge in the logic diagram, which is used to construct a fault knowledge graph to help achieve cause localization and rapid troubleshooting. …”
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Causal inference and directed acyclic graph: An epidemiological concept much needed for oral submucous fibrosis by Naman R. Rao, Chandramani B. More, Rahi M. Brahmbhatt, Youbai Chen, Wai-kit Ming

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A Novel Time-Aware Food Recommender-System Based on Deep Learning and Graph Clustering by Mehrdad Rostami, Mourad Oussalah, Vahid Farrahi

“…Food recommender-systems are considered an effective tool to help users adjust their eating habits and achieve a healthier diet. …”
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Evaluating 5G-Enabled Medical Devices: Failure Modes Analysis and Graph Database Implementation by Weichao Gao, Yongkang Liu, Mohamad Omar Al Kalaa

“…We outline the implementation of the testing framework using a graph database methodology and demonstrate representative test cases to validate the feasibility of the framework. …”
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