Results 101 to 110 of about 1,673 (179)

Directional Sheaf Hypergraph Networks: Unifying Learning on Directed and Undirected Hypergraphs

CoRR
Camera ready revision: accepted to ICLR ...
Emanuele Mule, Stefano Fiorini, Antonio Purificato, Federico Siciliano, Stefano Coniglio, Fabrizio Silvestri   +5 more
openaire   +2 more sources

A semi-supervised fault diagnosis method based on dynamic decay learning strategy and hypergraph attention network

Advances in Mechanical Engineering
To solve the fault diagnosis difficulties in autonomous underwater vehicle (AUV) thrusters, a semi-supervised AUV fault diagnosis method based on dynamic decay learning strategy and hypergraph attention network (HGAN) is proposed.
Shuai Zheng, Hongchao Wang
doaj   +1 more source

Unsupervised Contrastive Graph Kolmogorov–Arnold Networks Enhanced Cross-Modal Retrieval Hashing

Mathematics
To address modality heterogeneity and accelerate large-scale retrieval, cross-modal hashing strategies generate compact binary codes that enhance computational efficiency.
Hongyu Lin, Shaofeng Shen, Yuchen Zhang, Renwei Xia   +3 more
doaj   +1 more source

Non-Adaptive Learning of Random Hypergraphs with Queries

2025 IEEE International Symposium on Information Theory (ISIT)
We study the problem of learning a hidden hypergraph $G=(V,E)$ by making a single batch of queries (non-adaptively). We consider the hyperedge detection model, in which every query must be of the form: ``Does this set $S\subseteq V$ contain at least one full hyperedge?'' In this model, it is known that there is no algorithm that allows to non ...
Bethany Austhof, Lev Reyzin, Erasmo Tani
openaire   +2 more sources

Unsupervised hyperspectral images classification using hypergraph convolutional extreme learning machines

IET Image Processing
Aiming at the problem that traditional methods are difficult to fully utilize the rich spectral information in hyperspectral images (HSI) and fail to capture the complex higher‐order relations in hyperspectral data, which leads to limited classification ...
Hongrui Zhang, Hongfei Lv, Mengke Wang, Luyao Wang, Jinhuan Xu, Fenggui Wang, Xiangdong Li   +6 more
doaj   +1 more source

MSCHLMDA: Multi-Similarity Based Combinative Hypergraph Learning for Predicting MiRNA-Disease Association. [PDF]

Front Genet, 2020
Wu Q, Wang Y, Gao Z, Ni J, Zheng C.
europepmc   +1 more source

Traffic flow prediction via dynamic hypergraph learning. [PDF]

PLoS One
Wei S, Yang Y, Wang C.
europepmc   +1 more source

A model of multi-view contrastive hypergraph learning for predicting circRNA-disease associations. [PDF]

Sci Rep
Liu J, Yu C, Ma X, Ruan CW, Wang L.
europepmc   +1 more source

A graph clustering algorithm with hypergraph learning and a core-attachment strategy for protein complex identification. [PDF]

Front Genet
Wang J, Yang X, Yang P, Yang J, Miao Y.
europepmc   +1 more source

Hypergraph learning with multi-dimensional metabolite feature extractions and static-dynamic attention mechanisms to fill missing reactions in metabolic networks. [PDF]

Brief Bioinform
Wang K, Qu J, Liu F, Luan X, Zhou J.
europepmc   +1 more source