ProstaNet: A Novel Geometric Vector Perceptrons–Graph Neural Network Algorithm for Protein Stability Prediction in Single- and Multiple-Point Mutations with Experimental Validation... by Tianjian Liang, Ze-Yu Sun, Rieko Ishima, Xiang-Qun Xie, Ying Xue, Wei Li, Zhiwei Feng

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Solving the Traveling Salesman Problem Using a Modified Teaching-Learning Based Optimization Algorithm by Ahmad Aliyari Boroujeni, Ameneh Khadivar

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Edge-level multi-constranint graph pattern matching with lung cancer knowledge graph by Houdie Tu, Lei Li, Lei Li, Zhenchao Tao, Zhenchao Tao, Zan Zhang, Zan Zhang

“…Despite their ability to return subgraphs quickly and accurately, these methods are limited to their applications without medical data research.MethodsIn order to overcome this limitation, based on the existing research on GPM with the lung cancer knowledge graph, this paper introduces the Monte Carlo method and proposes an edge-level multi-constraint graph pattern matching algorithm TEM with lung cancer knowledge graph. …”
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Development the information systems with fuzzy logic algorithms and network optimization by A. V. Sinitsyn, N. Yu. Lisay, S. A. Selivanov, A. A. Sinitsyn

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Graph-Theoretic Detection of Anomalies in Supply Chains: A PoR-Based Approach Using Laplacian Flow and Sheaf Theory by Hsiao-Chun Han, Der-Chen Huang

“…Based on Graph Balancing Theory, this study proposes an anomaly detection algorithm, the Supply Chain Proof of Relation (PoR), applied to enterprise procurement networks formalized as weighted directed graphs. …”
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Athlete movement control training based on dynamic time warping algorithm by Luo Dai, Yueqiang Zhao

“…Given this, this study optimizes the training process of athletes' motion control based on spatiotemporal graph convolutional networks and dynamic time-warping algorithms. …”
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DiffusionScore: A Framework for Assessing Institutional Research Impact Through Influence Diffusion by Gambhire Swati Sampatrao, Anisha Khetan, Nithin Nagaraj, Snehanshu Saha, Sudeepa Roy Dey, Archana Mathur

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Software for Graph Analysis and Visualization by M. I. Kolomeychenko, A. A. Zolotyh, I. V. Polyakov, A. M. Chepovskiy

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Medium and Long Term Wind Power Prediction Based on Graph Convolutional Network and Wind Velocity Differential Fitting by Zihan CHEN, Wei TENG, Xuefeng XU, Xian DING, Yibing LIU

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Research on power data security full-link monitoring technology based on alternative evolutionary graph neural architecture search and multimodal data fusion by Zhenwan Zou, Bin Wang, Tao Chen, Jia Chen

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Measuring the Inferential Values of Relations in Knowledge Graphs by Xu Zhang, Xiaojun Kang, Hong Yao, Lijun Dong

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Optimizing Personalized Recommender Systems for Teachers’ Digital Learning Models Using Deep Learning Algorithms by Jun Zhong, Wenjuan Zhang

“…To address this issue, this paper proposes a personalized recommendation algorithm based on Graph Neural Networks (PRAGNN) for teachers’ digital learning models. …”
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Object-to-Manipulation Graph for Affordance Navigation by Xinhang Song, Bohan Wang, Liye Dong, Gongwei Chen, Xinyun Hu, Shuqiang Jiang

“…Object navigation, whose goal is to let the agent to reach some places (or objects), has been a popular topic in embodied Artificial Intelligence (AI) researches. However, in our real-world applications, it is more practical to find the targets with particular goals, raising the new requirements of finding the places to achieve the particular functions. …”
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The Algorithm for Refining a Framework of Scientific and Technological Field in Bibliometric Databases on the Example of Synchrotron, Neutron Research and Development by I. N. Chernova, O. V. Cherchenko

“…To assess the publication effectiveness of the Federal Scientific and Technical Program for the Development of Synchrotron and Neutron Research and Research Infrastructure for 2019–2027 (Program), its developers proposed the special search query in Web of Science Core Collection (WoS). …”
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Research on prediction algorithm of college students' academic performance based on Bert-GCN multi-modal data fusion by Yan Wu

“…With the advent of the era of big data, predicting the academic performance of college students has become an important research topic in the education field, and traditional methods are limited to a single data source, which is difficult to fully capture the complex learning behavior of students. …”
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Distilling knowledge from graph neural networks trained on cell graphs to non-neural student models by Vasundhara Acharya, Bülent Yener, Gillian Beamer

“…Abstract The development and refinement of artificial intelligence (AI) and machine learning algorithms have been an area of intense research in radiology and pathology, particularly for automated or computer-aided diagnosis. …”
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Shortest Walk in a Dungeon Graph by Christopher Durham, Chris Alvin

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A Sensor Data Prediction and Early-Warning Method for Coal Mining Faces Based on the MTGNN-Bayesian-IF-DBSCAN Algorithm by Mingyang Liu, Xiaodong Wang, Wei Qiao, Hongbo Shang, Zhenguo Yan, Zhixin Qin

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Synthetic graphs for link prediction benchmarking by Alexey Vlaskin, Eduardo G Altmann

“…Here we investigate the interplay between algorithm efficiency and network structures through the introduction of suitably-designed synthetic graphs. …”
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Personalized Recommendation Algorithm for Cultural and Creative Products Based on Fuzzy Decision Support System by Lin Shi, Xiaoqing Yang

“…A graph neural network (GNN) is established by studying users’ cultural and creative product-buying behavior. …”
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