Results 11 to 20 of about 14,658 (182)
Learning fuzzy representations for hypergraph node classification [PDF]
Scientific ReportsAs an extension of standard graphs, hypergraphs have demonstrated significant advantages in modeling high-order complex relationships compared with standard graphs. Existing literature has witnessed the great success of hypergraph representation learning
Zhishu Sun, Ruijing Geng, Ge Zhang
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EngineeringPractical real-world scenarios such as the Internet, social networks, and biological networks present the challenges of data scarcity and complex correlations, which limit the applications of artificial intelligence. The graph structure is a typical tool
Yue Gao, Shuyi Ji, Xiangmin Han
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Spatiotemporal Fusion for Stock Prediction via Hypergraph Attention Gated Recurrent Units [PDF]
EntropyStock prediction requires the joint modeling of temporal dynamics and cross-stock dependence. Existing graph-based and hypergraph-based forecasting methods often process spatial relation modeling and temporal evolution in separate stages, which may ...
Xinmei Cao, Chonghui Qian, Hengjun Huang
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On edge product hypergraphs [PDF]
Journal of Hyperstructures, 2021 In this paper we introduced the notion of an edge product hypergraph. A hypergraph H is said to be an edge producthypergraph if edges of hypergraph can be labeled with distinct positive integers such that the product of all the labels of edges incident ...
Kishor F. Pawar, Megha M. Jadhav
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, 2023 This open access book discusses the theory and methods of hypergraph computation. Many underlying relationships among data can be represented using graphs, for example in the areas including computer vision, molecular chemistry, molecular biology, etc ...
Gao, Yue, Dai, Qionghai
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Multimodal Data Fusion Algorithm Based on Hypergraph Regularization [PDF]
Jisuanji kexue, 2023 The multi-modal data fusion improves the performance of data classification and prediction by learning the correlation information and complementary information between multiple datasets.However,existing data fusion methods are based on feature pattern ...
CUI Bingjing, ZHANG Yipu, WANG Biao
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Unified Low-Rank Subspace Clustering with Dynamic Hypergraph for Hyperspectral Image
Remote Sensing, 2021 Low-rank representation with hypergraph regularization has achieved great success in hyperspectral imagery, which can explore global structure, and further incorporate local information.
Jinhuan Xu, Liang Xiao, Jingxiang Yang
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On domination in an edge product hypergraphs [PDF]
Journal of Hyperstructures, 2021 In this paper, we study domination in an edge product hypergraphs and found some results on it. It is proved that theunit edge in a unit edge product hypergraph is a dominating set of hypergraph H.
Kishor F. Pawar, Megha M. Jadhav
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Directed hypergraph observers-based qualitative fault monitoring tasks [PDF]
, 2021 To create a precise model structure and perform fault monitoring algorithms for a wide range of complex systems along with dynamic behavioural characteristics, the causal graph-based methods were considered herein. In this paper, a new scheme was devised
El Harabi, Rafika +5 more
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Structure Guides Function: Beyond Pairwise Neural Interactions. [PDF]
J Comp NeurolSome neurons fire more to synchronous inputs than combination of isolated inputs predicts. This synergistic effect is largely invisible to pairwise measurements. We thus propose to represent neural circuits as hypergraphs, where edges connect three or more interacting neuronal structures, in addition to using lines for connected pairs.
Maier A.
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