Fuzzy incidence coloring under structural operations for communication channel allocation by Angmo Deji, Qian Wang, Li Zhou

“…To this end, we propose a dedicated algorithm, which is designed to efficiently compute the FICN of SP graphs. …”
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CGD-CD: A Contrastive Learning-Guided Graph Diffusion Model for Change Detection in Remote Sensing Images by Yang Shang, Zicheng Lei, Keming Chen, Qianqian Li, Xinyu Zhao

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Individual Travel Knowledge Graph-Based Public Transport Commuter Identification: A Mixed Data Learning Approach by Song Hu, Jiancheng Weng, Quan Liang, Wei Zhou, Peizhao Wang

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Are American children and youth really such physically active as illustrated by ActiGraph data in national youth fitness survey? by Xiong Qin, Weimo Zhu, Xiaotian Gao, Huaijin Xu, Zezhao Chen

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Efficient Vehicle Detection and Optimization in Multi-Graph Mode Considering Multi-Section Tracking Based on Geographic Similarity by Yue Chen, Jian Lu

“…At present, complex deep learning algorithms are often used for vehicle detection and tracking, but high-precision detection results are often obtained at the cost of time, and the existing research rarely considers optimization algorithms for vehicle information. …”
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ACOFuzz: An ant colony algorithm-based fuzzer for smart contracts by Peixuan Feng, Wenrui Cao, Siqi Lu, Yongjuan Wang, Haoyuan Xue, Runnan Yang

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Enhanced pre-recruitment framework for clinical trial questionnaires through the integration of large language models and knowledge graphs by Chen Zihang, Liu Liang, Su Qianmin, Cheng Gaoyi, Huang Jihan, Li Ying

“…This issue has impeded advancements in medical research. However, recent years have seen the evolution of knowledge graphs and the introduction of large language models (LLMs), providing innovative approaches for the pre-screening and recruitment phases of clinical trials. …”
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COMPARISON OF DATASET OVERSAMPLING ALGORITHMS AND THEIR APPLICABILITY TO THE CATEGORIZATION PROBLEM by Denys Teslenko, Anna Sorokina, Artem Khovrat, Nural Huliiev, Valentyna Kyriy

“… The subject of research in the article is the problem of classification in machine learning in the presence of imbalanced classes in datasets. …”
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Succinct Link Transformation-Based Overlapping Community Detection Framework for Social Network Analysis by Seungwoo Ryu, Sungsu Lim, Seungsoo Yoo, Sun Yong Kim

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Textual and chemical information processing: different domains but similar algorithms by Peter Willett

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Prior Knowledge-Informed Graph Neural Network with Multi-Source Data-Weighted Fusion for Intelligent Bogie Fault Diagnosis by Yuanxing Huang, Bofeng Cui, Xianqun Mao, Jinsong Yang

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Cohesive Motion Control Algorithm for Formation of Multiple Autonomous Agents by Debabrata Atta, Bidyadhar Subudhi, Madan M. Gupta

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DeepMoIC: multi-omics data integration via deep graph convolutional networks for cancer subtype classification by Jiecheng Wu, Zhaoliang Chen, Shunxin Xiao, Genggeng Liu, Wenjie Wu, Shiping Wang

“…Results To address the challenges of multi-omics research, our approach DeepMoIC presents a novel framework derived from deep Graph Convolutional Network (GCN). …”
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More intelligent knowledge graph: A large language model-driven method for knowledge representation in geospatial digital twins by Jinbin Zhang, Jun Zhu, Zhihao Guo, Jianlin Wu, Yukun Guo, Jianbo Lai, Weilian Li

“…Furthermore, they are constrained by the professional backgrounds of their users, which hinders updates and communication. Therefore, the research constructed an “event-object-state” three-domain associated GDT-oriented KG, proposed a large language model (LLM) −driven KG dynamic update algorithm, and established a KG intelligent Q&A method integrating LLM. …”
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IRMAOC: an interpretable role mining algorithm based on overlapping clustering by Yaqi Yang, Jun’e Li, Tao Zhang, Lu Chen, Guirong Huang, Zhuo Lv

“…Abstract The Industrial Internet motivates the research and development of Zero-Trust Architecture (ZTA). …”
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Beyond predefined ligand libraries: a genetic algorithm approach for de novo discovery of catalysts for the Suzuki coupling reactions by Julius Seumer, Jan H. Jensen

“…Our research highlights the capability of these algorithms to generate ligands with desired thermodynamic properties, moving beyond the restriction of enumerated chemical libraries. …”
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Predicting noncoding RNA and disease associations using multigraph contrastive learning by Si-Lin Sun, Yue-Yi Jiang, Jun-Ping Yang, Yu-Han Xiu, Anas Bilal, Hai-Xia Long

“…The first step is the construction of a heterogeneous graph. The second step involves down sampling using the K-means clustering algorithm to balance the positive and negative samples. …”
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Image encryption algorithm based on improved Clifford chaotic system by Zhang Wenyu, Xing Rongying, Li Guodong

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An Analysis of Novel Money Laundering Data Using Heterogeneous Graph Isomorphism Networks. FinCEN Files Case Study by Filip Wójcik

“…Methodology: The research employed the FinCEN Files case data to develop and apply the HexGIN model in a beneficiary prediction task for a suspicious transactions graph. …”
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A Genome Scaffold Algorithm for Extending Repetitive and Nonrepetitive Contigs by Shuaibin Lian, Gang Zheng, Ke Gong, Xiaoli Zhang, Jiantao Guo

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