Limits of Depth: Over-Smoothing and Over-Squashing in GNNs by Aafaq Mohi ud din, Shaima Qureshi

“…Graph Neural Networks (GNNs) have become a widely used tool for learning and analyzing data on graph structures, largely due to their ability to preserve graph structure and properties via graph representation learning. …”
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The Fast-Greedy algorithm reveals hourly fluctuations and associated risks of shark communities in a South Pacific city by Ibtissam Chafia, Jihad Zahir, Christophe Lett, Tarik Agouti, Hajar Mousannif, Laurent Vigliola

“…The data were categorized by species, divided into 24 hourly subsets, and modeled as bipartite graphs. …”
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Dictionary-based Block Encoding of Sparse Matrices with Low Subnormalization and Circuit Depth by Chunlin Yang, Zexian Li, Hongmei Yao, Zhaobing Fan, Guofeng Zhang, Jianshe Liu

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Low prevalence of hemoperitoneum recurrence in dogs following splenectomy for benign splenic tumors by Brooke T. Fourthman, Samuel D. Stewart, Heather Wilson-Robles, Chand Khanna, Jacob Cawley

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VE-GCN: A Geography-Aware Approach for Polyline Simplification in Cartographic Generalization by Siqiong Chen, Anna Hu, Yongyang Xu, Haitao Wang, Zhong Xie

“…Polyline simplification is a critical process in cartographic generalization, but the existing methods often fall short in considering the overall geographic morphology or local edge and vertex information of polylines. To enhance the graph convolutional structure for capturing crucial geographic element features and simultaneously learning vertex and edge features within map polylines, this study introduces a joint vertex–edge feature graph convolutional network (VE-GCN). …”
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EEG-Based Multi-Level Mental State Classification Using Partial Directed Coherence and Graph Convolutional Networks: Impact of Binaural Beats on Stress Mitigation by Yara Badr, Fares Al-Shargie, M. N. Afzal Khan, Nour Faris Ali, Usman Tariq, Fadwa Almughairbi, Fabio Babiloni, Hasan Al-Nashash

“…Utilizing EEG signals, graph convolutional neural networks (GCNs), and binaural beats stimulation (BBs), the research investigates stress detection and reduction in two population sample groups with distinct baselines (group 1: low daily baseline, and group 2: stressed daily baseline). …”
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Improved brain functional network in major depressive disorder with suicidal ideation after individual target-transcranial magnetic stimulation treatment: a graph-theory analysis by Yao Zhang, Nan Mu, Shun Qi, Chuanzhu Sun, Yang Rao, Xinyi Yang, Jianying Guo, Yunfeng Mu

“…IntroductionMajor depressive disorder with suicidal ideation (MDD/SI+) is characterized by high prevalence, high recurrence rate, high disability rate and low response rate. There is an urgent need for clarifying the pathogenesis and developing novel treatment methods.MethodsSubjects were recruited for the collection of Magnetic Resonance Imaging data and clinical scales. …”
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Recursive GNNs for Learning Precoding Policies With Size-Generalizability by Jia Guo, Chenyang Yang

“…Graph neural networks (GNNs) have been shown promising in optimizing power allocation and link scheduling with good size generalizability and low training complexity. …”
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Embedded Anchors Coupled Low-Rank Tensor Learning for Multi-View Intrinsic Subspace Clustering by Yueyao Li, Yanying Mei, Zhenwen Ren, Bin Wu

“…Besides, these methods do not reveal the high-order relationships concealed behind multi-view data and recover the global low-rank of the anchor graphs. …”
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Disturbed small-world networks and neurocognitive function in frontal lobe low-grade glioma patients. by Qingling Huang, Rui Zhang, Xinhua Hu, Shangwen Ding, Jingguang Qian, Ting Lei, Xuan Cao, Ling Tao, Zhiyu Qian, Hongyi Liu

“…<h4>Methodology/principal findings</h4>To detect differences in the whole brain topology among LGG patients before and after operation, a combined study of neurocognitive assessment and graph theoretical network analysis of fMRI data was performed. …”
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Research on the policy inconsistency, network motifs and low carbon effects for municipal solid waste management by Bo Lv, Tianxu Cui, Daiheng Li, Weiyue Yao

“…This study combines the policy consistency formula, a four-node network motif evolution algorithm, and the Exponential Random Graph Model (ERGM), analyzing MSWM green network motifs with carbon emission data. …”
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Comparison of Nocturnal Restlessness in Patients with Low Back Pain and Age- and Gender-Matched Healthy Controls by Sweta Jagdishchandra Upadhyay, M. Bala Ganapathy

“…Sociodemographic data, including age, gender, and body mass index, were also collected. …”
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A Cognition Knowledge Representation Model Based on Multidimensional Heterogeneous Data by Dong Zhong, Yi-An Zhu, Lanqing Wang, Junhua Duan, Jiaxuan He

“…Aiming at the problem that the data sources of the knowledge base for constructing the cognitive knowledge graph are wide and heterogeneous, and there are entity semantic differences and knowledge system differences among different data sources, a multimodal entity semantic fusion model based on vector features and a system fusion framework based on HowNet are designed, and the environment description information such as object semantics, attributes, relations, spatial location, and context acquired by industrial robots and their own state information are unified and standardized. …”
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An analysis of pedestrian crossings through deep learning models and crash data by Lorenzo Mussone, Omar el Hassan

“…Correlations between exposure indices and crash data are negative and very low.…”
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Telehealth interventions for substance use disorders in low- and- middle income countries: A scoping review. by Margaret Isioma Ojeahere, Sarah Kanana Kiburi, Paul Agbo, Rakesh Kumar, Florence Jaguga

“…Data is presented in a narrative summary using charts, graphs, and tables. …”
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Distributed Consensus Gossip-Based Data Fusion for Suppressing Incorrect Sensor Readings in Wireless Sensor Networks by Martin Kenyeres, Jozef Kenyeres, Sepideh Hassankhani Dolatabadi

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Imputasi Data Temperatur Maksimum Menggunakan Metode Support Vector Regression by Isa Kholifatus Sukhna, Brina Miftahurrohmah, Catur Wulandari, Putri Amelia

“… Temperature is a crucial element affecting various aspects, from agriculture to natural disasters. Temperature data imputation is also important because, in some cases, temperature data is not always complete. …”
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Disentangled diffusion dodels for probabilistic spatio-temporal traffic forecasting by Wenyu Zhang, Kaidong Zheng

“…Our model aims to capture the inherent uncertainty and complex spatio-temporal dynamics of traffic data by quantifying uncertainty through a diffusion model and learning spatio-temporal dependencies via a spatio-temporal graph neural network. …”
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A New AB Initio Repeats Finding Algorithm for Reference Genome by Shuaibin Lian, Ke Gong, Xiangli Zhang, Xinwu Chen

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Association of Non-specific Mechanical low Back Pain with Limited Ankle Dorsiflexion among Female Students by Muhammad Hafeez, Faiqa Tariq, Muhammad Irfan Sattar, Arsalan Saeed, Shabana Rahim, Mohammad Waqas Ghauri

“…Data was analyzed using Statistical Package for Social Sciences version 22.0 to create graphs and tables. …”
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