NSTL国家科技图书文献中心

1. Localized version of hypergraph Erdos-Gallai Theorem NSTL国家科技图书文献中心

Zhao, Kai | Zhang, Xiao-Dong - 《Discrete mathematics》 - 2025,348(1) - 共13页

摘要： uniform hypergraph* H is defined with respect to the* | . This result strengthens and extends the hypergraph | The weight function of an edge in an n-vertex | number of edges in the longest Berge path containing | the edge. We prove that the summation of the weight

关键词： Hypergraph | Berge path | Erdos-Gallai Theorem | Weight function

2. The Structure-sharing Hypergraph Reasoning Attention Module for CNNs NSTL国家科技图书文献中心

Jingchao Wang | Guoheng Huang ... - 《Expert Systems with Application》 - 2025,259(Jan.) - 125240.1～125240.10 - 共10页

摘要： propose the Structure-sharing Hypergraph* Reasoning* | similarity among nodes via hypergraph* learning. SHRA Module* | transforms the input CNN feature maps into hypergraph* node* | of learnable hypergraph* convolutions. When* | performing the hypergraph* convolution, the SHRA Module*

关键词： Attention mechanism | Hypergraph | Structure-sharing

3. HHP: A Hybrid Partitioner for Large-Scale Hypergraph NSTL国家科技图书文献中心

Junlin Shang | Zhenyu Zhang ... - 《Advanced Data Mining and Applications,Part III》 - International Conference on Advanced Data Mining and Applications - 2025, - 114～129 - 共16页

摘要： crucial for distributed systems that utilize hypergraph | -structured data. Hypergraph* partitioners can be classified* | hypergraph partitioner, the Hybrid Hypergraph Partitioner | consumption by splitting the hypergraph* into two sub* | -hypergraph, followed by an online strategy that uses the

关键词： Hypergraph partitioning | Streaming | Neighborhood expansion | Hybrid partitioning

4. Heterogeneous Hypergraph Polynomial Learning for Herb Recommendation NSTL国家科技图书文献中心

Yao Xiao | Jin Liu ... - 《Database Systems for Advanced Applications,Part III》 - International Conference on Database Systems for Advanced Applications | International Workshop on Big Data Management and Service | International Workshop on Graph Data Management and Analysis | International Workshop on Big Data Quality Management | Workshop on Emerging Results inData Science and Engineering - 2025, - 313～322 - 共10页

摘要： Heterogeneous Hypergraph* Polynomial Learning (HPPL). First, we* | construct the heterogeneous hypergraph* according to the* | Herb recommendation aims to recommend a set of | herbs based on the patients' symptoms. Although the | existing graph representation learning methods obtain

关键词： Herb recommendation | Traditional chinese medicine | Heterogeneous hypergraph | Representation learning

5. Dual Hypergraph Convolution Networks for Image Forgery Localization NSTL国家科技图书文献中心

Jiahao Huang | Xiaochen Yuan ... - 《Pattern Recognition,Part XXII》 - International Conference on Pattern Recognition - 2025, - 334～345 - 共12页

摘要：. Therefore, we propose a novel Dual Hypergraph* Convolution* | -wise hyper-graph* convolution branches to refine the* | The continual advancement of image editing | techniques has made manipulated images easier to create | . Improper use may lead to the proliferation of forged

关键词： Image forgery localization | Hypergraph | Hypergraph convolution networks

6. High-Order Recommendation with Heterophilic Hypergraph Diffusion NSTL国家科技图书文献中心

Darnbi Sakong | Thanh Trung Huynh ... - 《Databases Theory and Applications》 - Australasian Database Conference - 2025, - 114～127 - 共14页

摘要：, a novel wavelet-based hypergraph* diffusion* | Collaborative Filtering (CF) is a crucial task | in recommendation systems, aimed at predicting user | preferences based on the behaviors and preferences of | similar users. While traditional CF techniques have

关键词： Recommendation system | Hypergraph diffusion | Heterophily

7. I2HGNN: Iterative Interpretable HyperGraph Neural Network for semi-supervised classification NSTL国家科技图书文献中心

Zhang, Hongwei | Wang, Saizhuo ... - 《Neural Networks》 - 2025,183 - Article 106929～Article 106929 - 共11页

摘要： propose a novel hypergraph* neural network named I2HGNN* | significance of node features and hypergraph* topology across* | of hypergraph* node classification across nearly all* | Learning on hypergraphs has garnered | significant attention recently due to their ability to

关键词： Iterative algorithm | Hypergraph | Optimization | Classification

8. A topological property of a hypergraph assigned to commutative rings NSTL国家科技图书文献中心

Selvakumar, K. | Jemi, J. Beautlin ... - 《Journal of algebra and its applications》 - 2025,24(3) - 共23页

摘要： hypergraph, namely 3-zero divisor hypergraph assigned to a | hyperedge of 3-zero-divisor hypergraph* of Z(n).* | Studying algebraic structures via graphs and | hypergraphs assigned to them can be of interest. Especially | , computing the genus of a graph as a topological index

关键词： Hypergraph | zero-divisor graph | incidence graph | genus | crosscap

9. Incomplete multi-view clustering based on hypergraph NSTL国家科技图书文献中心

Chen, Jin | Xu, Huafu ... - 《Information Fusion》 - 2025,117 - 共14页

摘要： on hypergraph* (IMVC_HG). Specifically, we use a* | hypergraph to reconstruct missing views, which can better | The graph-based incomplete multi-view | clustering aims at integrating information from multiple | views and utilizes graph models to capture the global

关键词： Incomplete multi-view clustering | Graph learning | Hypergraph | Non-negative matrix factorization

10. A systematic study of intercropping agricultural system using fuzzy and inverse fuzzy hypersoft hypergraph NSTL国家科技图书文献中心

Keerthana, R. | Venkatesh, S. - 《Journal of Applied Mathematics and Computing》 - 2025,71(3) - 4067～4094 - 共28页

摘要：The fuzzy hypergraph* theory is a significant* | article, we introduce fuzzy hypersoft hypergraph* (FHSHG* | hypergraph (IFHSHG) and strong hypersoft hypergraph (SHSHG | framework for effectively handling the uncertain | information prevailing in the multi-dimensional

摘要： uniform hypergraph* H is defined with respect to the* | . This result strengthens and extends the hypergraph | The weight function of an edge in an n-vertex | number of edges in the longest Berge path containing | the edge. We prove that the summation of the weight

关键词： Hypergraph | Berge path | Erdos-Gallai Theorem | Weight function

摘要： propose the Structure-sharing Hypergraph* Reasoning* | similarity among nodes via hypergraph* learning. SHRA Module* | transforms the input CNN feature maps into hypergraph* node* | of learnable hypergraph* convolutions. When* | performing the hypergraph* convolution, the SHRA Module*

关键词： Attention mechanism | Hypergraph | Structure-sharing

关键词： Hypergraph partitioning | Streaming | Neighborhood expansion | Hybrid partitioning

摘要： Heterogeneous Hypergraph* Polynomial Learning (HPPL). First, we* | construct the heterogeneous hypergraph* according to the* | Herb recommendation aims to recommend a set of | herbs based on the patients' symptoms. Although the | existing graph representation learning methods obtain

关键词： Herb recommendation | Traditional chinese medicine | Heterogeneous hypergraph | Representation learning

摘要：. Therefore, we propose a novel Dual Hypergraph* Convolution* | -wise hyper-graph* convolution branches to refine the* | The continual advancement of image editing | techniques has made manipulated images easier to create | . Improper use may lead to the proliferation of forged

关键词： Image forgery localization | Hypergraph | Hypergraph convolution networks

摘要：, a novel wavelet-based hypergraph* diffusion* | Collaborative Filtering (CF) is a crucial task | in recommendation systems, aimed at predicting user | preferences based on the behaviors and preferences of | similar users. While traditional CF techniques have

关键词： Recommendation system | Hypergraph diffusion | Heterophily

摘要： propose a novel hypergraph* neural network named I2HGNN* | significance of node features and hypergraph* topology across* | of hypergraph* node classification across nearly all* | Learning on hypergraphs has garnered | significant attention recently due to their ability to

关键词： Iterative algorithm | Hypergraph | Optimization | Classification

摘要： hypergraph, namely 3-zero divisor hypergraph assigned to a | hyperedge of 3-zero-divisor hypergraph* of Z(n).* | Studying algebraic structures via graphs and | hypergraphs assigned to them can be of interest. Especially | , computing the genus of a graph as a topological index

关键词： Hypergraph | zero-divisor graph | incidence graph | genus | crosscap

摘要： on hypergraph* (IMVC_HG). Specifically, we use a* | hypergraph to reconstruct missing views, which can better | The graph-based incomplete multi-view | clustering aims at integrating information from multiple | views and utilizes graph models to capture the global

关键词： Incomplete multi-view clustering | Graph learning | Hypergraph | Non-negative matrix factorization

摘要：The fuzzy hypergraph* theory is a significant* | article, we introduce fuzzy hypersoft hypergraph* (FHSHG* | hypergraph (IFHSHG) and strong hypersoft hypergraph (SHSHG | framework for effectively handling the uncertain | information prevailing in the multi-dimensional

关键词： Fuzzy Hypersoft Hypergraph | Inverse Fuzzy Hypersoft Hypergraph | Strong Hypersoft Hypergraph | Centrality measures | Intercropping

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： uniform hypergraph H is defined with respect to the | . This result strengthens and extends the hypergraph | The weight function of an edge in an n-vertex | number of edges in the longest Berge path containing | the edge. We prove that the summation of the weight

关键词： Hypergraph | Berge path | Erdos-Gallai Theorem | Weight function

摘要： propose the Structure-sharing Hypergraph Reasoning | similarity among nodes via hypergraph learning. SHRA Module | transforms the input CNN feature maps into hypergraph node | of learnable hypergraph convolutions. When | performing the hypergraph convolution, the SHRA Module

关键词： Attention mechanism | Hypergraph | Structure-sharing

关键词： Hypergraph partitioning | Streaming | Neighborhood expansion | Hybrid partitioning

摘要： Heterogeneous Hypergraph Polynomial Learning (HPPL). First, we | construct the heterogeneous hypergraph according to the | Herb recommendation aims to recommend a set of | herbs based on the patients' symptoms. Although the | existing graph representation learning methods obtain

关键词： Herb recommendation | Traditional chinese medicine | Heterogeneous hypergraph | Representation learning

摘要：. Therefore, we propose a novel Dual Hypergraph Convolution | -wise hyper-graph convolution branches to refine the | The continual advancement of image editing | techniques has made manipulated images easier to create | . Improper use may lead to the proliferation of forged

关键词： Image forgery localization | Hypergraph | Hypergraph convolution networks

摘要：, a novel wavelet-based hypergraph diffusion | Collaborative Filtering (CF) is a crucial task | in recommendation systems, aimed at predicting user | preferences based on the behaviors and preferences of | similar users. While traditional CF techniques have

关键词： Recommendation system | Hypergraph diffusion | Heterophily

摘要： propose a novel hypergraph neural network named I2HGNN | significance of node features and hypergraph topology across | of hypergraph node classification across nearly all | Learning on hypergraphs has garnered | significant attention recently due to their ability to

关键词： Iterative algorithm | Hypergraph | Optimization | Classification

摘要： hypergraph, namely 3-zero divisor hypergraph assigned to a | hyperedge of 3-zero-divisor hypergraph of Z(n). | Studying algebraic structures via graphs and | hypergraphs assigned to them can be of interest. Especially | , computing the genus of a graph as a topological index

关键词： Hypergraph | zero-divisor graph | incidence graph | genus | crosscap

摘要： on hypergraph (IMVC_HG). Specifically, we use a | hypergraph to reconstruct missing views, which can better | The graph-based incomplete multi-view | clustering aims at integrating information from multiple | views and utilizes graph models to capture the global

关键词： Incomplete multi-view clustering | Graph learning | Hypergraph | Non-negative matrix factorization

摘要：The fuzzy hypergraph theory is a significant | article, we introduce fuzzy hypersoft hypergraph (FHSHG | hypergraph (IFHSHG) and strong hypersoft hypergraph (SHSHG | framework for effectively handling the uncertain | information prevailing in the multi-dimensional

关键词： Fuzzy Hypersoft Hypergraph | Inverse Fuzzy Hypersoft Hypergraph | Strong Hypersoft Hypergraph | Centrality measures | Intercropping

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： uniform hypergraph* H is defined with respect to the* | . This result strengthens and extends the hypergraph | The weight function of an edge in an n-vertex | number of edges in the longest Berge path containing | the edge. We prove that the summation of the weight

摘要： propose the Structure-sharing Hypergraph* Reasoning* | similarity among nodes via hypergraph* learning. SHRA Module* | transforms the input CNN feature maps into hypergraph* node* | of learnable hypergraph* convolutions. When* | performing the hypergraph* convolution, the SHRA Module*

摘要： Heterogeneous Hypergraph* Polynomial Learning (HPPL). First, we* | construct the heterogeneous hypergraph* according to the* | Herb recommendation aims to recommend a set of | herbs based on the patients' symptoms. Although the | existing graph representation learning methods obtain

摘要：. Therefore, we propose a novel Dual Hypergraph* Convolution* | -wise hyper-graph* convolution branches to refine the* | The continual advancement of image editing | techniques has made manipulated images easier to create | . Improper use may lead to the proliferation of forged

摘要：, a novel wavelet-based hypergraph* diffusion* | Collaborative Filtering (CF) is a crucial task | in recommendation systems, aimed at predicting user | preferences based on the behaviors and preferences of | similar users. While traditional CF techniques have

摘要： propose a novel hypergraph* neural network named I2HGNN* | significance of node features and hypergraph* topology across* | of hypergraph* node classification across nearly all* | Learning on hypergraphs has garnered | significant attention recently due to their ability to

摘要： hypergraph, namely 3-zero divisor hypergraph assigned to a | hyperedge of 3-zero-divisor hypergraph* of Z(n).* | Studying algebraic structures via graphs and | hypergraphs assigned to them can be of interest. Especially | , computing the genus of a graph as a topological index

摘要： on hypergraph* (IMVC_HG). Specifically, we use a* | hypergraph to reconstruct missing views, which can better | The graph-based incomplete multi-view | clustering aims at integrating information from multiple | views and utilizes graph models to capture the global

摘要：The fuzzy hypergraph* theory is a significant* | article, we introduce fuzzy hypersoft hypergraph* (FHSHG* | hypergraph (IFHSHG) and strong hypersoft hypergraph (SHSHG | framework for effectively handling the uncertain | information prevailing in the multi-dimensional