scE2EGAE: enhancing single-cell RNA-Seq data analysis through an end-to-end cell-graph-learnable graph autoencoder with differentiable edge sampling by Shuo Wang, Yuanning Liu, Hao Zhang, Zhen Liu

“…However, existing GNNs-based methods usually construct fixed graphs by applying the k-nearest neighbors algorithm, which may result in information loss. …”
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Using a graph to schematize the test results of mining dump trucks by Dianov V.A., Bokarev A.I., Kartashov A.B., Dubinkin D.M., Pashkov D.A.

“…The use of graph schematization allows you to supplement the graph with new types of information or group them in different ways depending on the problem being solved. …”
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Regional Heatwave Prediction Using Graph Neural Network and Weather Station Data by Peiyuan Li, Yin Yu, Daning Huang, Zhi‐Hua Wang, Ashish Sharma

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Causal Discovery Evaluation Framework in the Absence of Ground-Truth Causal Graph by Tingpeng Li, Lei Wang, Danhua Peng, Jun Liao, Li Liu, Zhendong Liu

“…To address this, we propose a novel method for evaluating causal discovery algorithms without needing real causal graphs. Specifically, our method employs deep learning evaluation strategies and ensemble learning techniques to robustly assess the performance of causal discovery methods. …”
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Online English teaching resource recommendation method design based on LightGCNCSCM by Jing Tang

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Identifying Influential Nodes Based on Evidence Theory in Complex Network by Fu Tan, Xiaolong Chen, Rui Chen, Ruijie Wang, Chi Huang, Shimin Cai

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Bayesian Network-Based Knowledge Graph Inference for Highway Transportation Safety Risks by Luo Wenhui, Cai Fengtian, Wu Chuna, Meng Xingkai

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A Comprehensive Approach to Synthetic Distribution Grid Generation: Erdős–Rényi to Barabási-Albert by Mohammad Shahraeini

“…To address these limitations and push the research forward, the new algorithm utilizes the Barabási-Albert model to provide more control over the structural features of the generated graphs through the introduction of a novel tuning parameter known as the “richness index”. …”
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Hyperspectral Target Detection Based on Prior Spectral Perception and Local Graph Fusion by Xiaobin Zhao, Jun Huang, Yunquan Gao, Qingwang Wang

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Predicting Financial Extremes Based on Weighted Visual Graph of Major Stock Indices by Dong-Rui Chen, Chuang Liu, Yi-Cheng Zhang, Zi-Ke Zhang

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Handover Strategy for LEO Satellite Networks Using Bipartite Graph and Hysteresis Margin by Sahar Eydian, Maryam Hosseini, Gunes Karabulut Kurt

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<i>Apis mellifera</i> Bee Verification with IoT and Graph Neural Network by Apolinar Velarde Martínez, Gilberto González Rodríguez, Juan Carlos Estrada Cabral

“…Two object-recognition techniques, namely the k-Nearest Neighbor Algorithm (kNN) and Graph Neural Network (GNN), were evaluated with an image dataset of 600 images from a single beehive. …”
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A Visibility Graph Approach to CNY Exchange Rate Networks and Characteristic Analysis by Can-Zhong Yao, Ji-Nan Lin

“…First, we transform central parity rate time series of US dollar, Euro, Yen, and Sterling against CNY into exchange rate networks with visibility graph algorithm and find consistent topological characteristics in four exchange rate networks, with their average path lengths 5 and average clustering coefficients 0.7. …”
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Text Moderation in Online Communities: Integrating User Attributes and Interaction Graph Embedding by Dong Jing, Xu Gao, Kee-Hung Lai

“…Since it is difficult to label users in large online communities, we use the unsupervised Node2Vec algorithm to get user embedding from the user’s interaction graph. …”
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Hand-aware graph convolution network for skeleton-based sign language recognition by Juan Song, Huixuechun Wang, Jianan Li, Jian Zheng, Zhifu Zhao, Qingshan Li

“…Skeleton-based sign language recognition (SLR) is a challenging research area mainly due to the fast and complex hand movement. …”
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Immune status assessment based on plasma proteomics with meta graph convolutional networks by Min Zhang, Nan Xu, Qi Cheng, Jing Ye, Shiwei Wu, Haoliang Liu, Chengkui Zhao, Lei Yu, Weixing Feng

“…To bridge this gap, researchers developed ProMetaGCN, a model integrating meta-learning, graph convolutional networks, and protein-protein interaction (PPI) data to evaluate immune status via plasma proteomics. …”
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Integrating IT and OT for Cybersecurity: A Stochastic Optimization Approach via Attack Graphs by Gonzalo Martinez Medina, Krystel K. Castillo-Villar, Tanveer Hossain Bhuiyan

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Graph-Based COVID-19 Detection Using Conditional Generative Adversarial Network by Imran Ihsan, Azhar Imran, Tahir Sher, Mahmood Basil A. Al-Rawi, Mohammed A. Elmeligy, Muhammad Salman Pathan

“…Subsequently, a graph-based feature reconstruction technique amalgamates these extracted features across the network, culminating in a comprehensive representation. …”
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Graph neural processes for molecules: an evaluation on docking scores and strategies to improve generalization by Miguel García-Ortegón, Srijit Seal, Carl Rasmussen, Andreas Bender, Sergio Bacallado

“…In particular, applications in scientific research may prove especially challenging due to the potential novelty of meta-testing tasks. …”
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Graph neural networks and transfer entropy enhance forecasting of mesozooplankton community dynamics by Minhyuk Jeung, Min-Chul Jang, Kyoungsoon Shin, Seung Won Jung, Sang-Soo Baek

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