Results 91 to 100 of about 5,865 (183)

A Research Approach to Port Information Security Link Prediction Based on HWA Algorithm

Applied Sciences
For the protection of information security, link prediction, as a basic problem of network science, has important application significance. However, most of the existing link prediction algorithms rely on the node information of the graph structure ...
Zhixin Xia, Zhangqi Zheng, Lexin Bai, Xiaolei Yang, Yongshan Liu   +4 more
doaj   +1 more source

SPARSE: a sparse hypergraph neural network for learning multiple types of latent combinations to accurately predict drug-drug interactions. [PDF]

Bioinformatics, 2022
Nguyen DA, Nguyen CH, Petschner P, Mamitsuka H.   +3 more
europepmc   +1 more source

A novel Mamba-hypergraph enhanced time-frequency fusion network for multivariate time series classification

Complex & Intelligent Systems
Multivariate time series (MTS) classification is a crucial research area with broad applications in action recognition, healthcare, and system monitoring.
Jianjian Jiang, Chuxin Zhuang, Fangyan Lei, Ziwei Chen, Lintao Xiao, Minjing Liang, Jianfeng Peng   +6 more
doaj   +1 more source

Distributed constrained combinatorial optimization leveraging hypergraph neural networks

Nature Machine Intelligence
Scalable addressing of high dimensional constrained combinatorial optimization problems is a challenge that arises in several science and engineering disciplines. Recent work introduced novel application of graph neural networks for solving quadratic-cost combinatorial optimization problems. However, effective utilization of models such as graph neural
Nasimeh Heydaribeni, Xinrui Zhan, Ruisi Zhang, Tina Eliassi-Rad, Farinaz Koushanfar   +4 more
openaire   +2 more sources

Multimodal and Temporal Graph Fusion Framework for Advanced Phishing Website Detection

IEEE Access
Phishing attacks are among the persistent threats that are dynamically evolving and demand advanced detection mechanisms to counter more sophisticated techniques.
S. Kavya, D. Sumathi
doaj   +1 more source

A Static-Dynamic Hypergraph Neural Network Framework Based on Residual Learning for Stock Recommendation

Complexity
Stock ranking prediction is an effective method for achieving a high investment return and plays a crucial role in investment decisions. However, previous studies have overlooked the interconnections among stocks or have solely relied on predefined ...
Jianlong Hao, Zhibin Liu, Qiwei Sun, Chen Zhang, Jie Wang   +4 more
doaj   +1 more source

Exploring High-Order Skeleton Correlations with Physical and Non-Physical Connection for Action Recognition

Applied Sciences
Hypergraphs have received widespread attention in modeling complex data correlations due to their superior performance. In recent years, some researchers have used hypergraph structures to characterize complex non-pairwise joints in the human skeleton ...
Cheng Wang, Nan Ma, Zhixuan Wu
doaj   +1 more source

Hyperedge Interaction-aware Hypergraph Neural Network

Hypergraphs provide an effective modeling approach for modeling high-order relationships in many real-world datasets. To capture such complex relationships, several hypergraph neural networks have been proposed for learning hypergraph structure, which propagate information from nodes to hyperedges and then from hyperedges back to nodes.
Ye, Rongping, Pei, Xiaobing, Yang, Haoran, Wang, Ruiqi   +3 more
openaire   +2 more sources

APT attack threat-hunting network model based on hypergraph Transformer

Tongxin xuebao
To solve the problem that advanced persistent threat (APT) in the Internet of things (IoT) environment had the characteristics of strong concealment, long duration, and fast update iterations, it was difficult for traditional passive detection models to ...
Yuancheng LI, Yukun LIN
doaj   +2 more sources

HGSNet: A hypergraph network for subtle lesions segmentation in medical imaging

IET Image Processing
Lesion segmentation is a fundamental task in medical image processing, often facing the challenge of subtle lesions. It is important to detect these lesions, even though they can be difficult to identify.
Junze Wang, Wenjun Zhang, Dandan Li, Chao Li, Weipeng Jing   +4 more
doaj   +1 more source