Results 51 to 60 of about 2,491 (218)

Adaptive Learning a Hidden Hypergraph

CoRR, 2016
Learning a hidden hypergraph is a natural generalization of the classical group testing problem that consists in detecting unknown hypergraph $H_{un}=H(V,E)$ by carrying out edge-detecting tests. In the given paper we focus our attention only on a specific family $\mathcal{F}(t,s,\ell)$ of localized hypergraphs for which the total number of vertices ...
Arkadii G. D'yachkov, Ilya V. Vorobyev, N. A. Polyanskii, Vladislav Yu. Shchukin   +3 more
openaire   +2 more sources

Person Re-identification by Multi-hypergraph Fusion

, 2017
Matching people across nonoverlapping cameras, also known as person re-identification, is an important and challenging research topic. Despite its great demand in many crucial applications such as surveillance, person re-identification is still far ...
Chen, Xiaojing (xchen010@ucr.edu), Chen, Xiaojing, An, Le, Li, Xuelong, Yang, Songfan   +4 more
core   +1 more source

EasyHypergraph: an open-source software for fast and memory-saving analysis and learning of higher-order networks

Humanities & Social Sciences Communications
Higher-order relationships exist widely across different disciplines. In the realm of real-world systems, significant interactions involving multiple entities are common.
Bodian Ye, Min Gao, Xiu-Xiu Zhan, Xinlei He, Zi-Ke Zhang, Qingyuan Gong, Xin Wang, Yang Chen   +7 more
doaj   +1 more source

Vehicle Reidentification via Multifeature Hypergraph Fusion

International Journal of Digital Multimedia Broadcasting, 2021
Vehicle reidentification refers to the mission of matching vehicles across nonoverlapping cameras, which is one of the critical problems of the intelligent transportation system.
Wang Li, Zhang Yong, Yuan Wei, Shi Hongxing   +3 more
doaj   +1 more source

An Ensemble Hypergraph Learning Framework for Recommendation

, 2021
Recommender systems are designed to predict user preferences over collections of items. These systems process users’ previous interactions to decide which items should be ranked higher to satisfy their desires. An ensemble recommender system can achieve great recommendation performance by effectively combining the decisions generated by individual ...
Gharahighehi, Alireza, Vens, Celine, Pliakos, Konstantinos   +2 more
openaire   +1 more source

Topology‐Aware Deep Learning on Higher‐Order Structures for Drug Response Prediction

Advanced Science, EarlyView.
We present TopDr, a topology‐aware deep learning framework that encodes both drugs and cell lines as multiscale simplicial complexes, capturing interactions at the 0‐, 1‐, and 2‐simplex levels. By jointly integrating local higher‐order neighborhoods and global topological structures, TopDr generates enriched representations for sensitivity prediction ...
Cong Shen, Guancen Lin, Chuan‐Shen Hu, Yong Wang   +3 more
wiley   +1 more source

Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real‐World Data

Advanced Intelligent Discovery, EarlyView.
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley   +1 more source

A Dynamic Correlation‐Information‐Fusion‐Based Spatiotemporal Network for Traffic Flow Forecasting

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Traffic Flow Forecasting (TFF) is a foundational task in the development of Intelligent Transport Systems (ITSs). The primary challenge is to undertake a comprehensive exploration of the intrinsic dynamic spatiotemporal correlations of the road network, unveiling the long‐term evolutionary traffic trends.
Dawen Xia, Zhan Lin, Xingyan Wang, Ruixi Huang, Jinhui Hu, Yang Hu, Huaqing Li   +6 more
wiley   +1 more source

Android Malware Detection Based on Hypergraph Neural Networks

Applied Sciences, 2023
Android has been the most widely used operating system for mobile phones over the past few years. Malicious attacks against android are a major privacy and security concern. Malware detection techniques for android applications are therefore significant.
Dehua Zhang, Xiangbo Wu, Erlu He, Xiaobo Guo, Xiaopeng Yang, Ruibo Li, Hao Li   +6 more
doaj   +1 more source

Hypergraph Contrastive Learning for both Homophilic and Heterophilic Hypergraphs

CoRR
Hypergraphs, as a generalization of traditional graphs, naturally capture high-order relationships. In recent years, hypergraph neural networks (HNNs) have been widely used to capture complex high-order relationships. However, most existing hypergraph neural network methods inherently rely on the homophily assumption, which often does not hold in real ...
Renchu Guan, Xuyang Li, Yachao Zhang, Wei Pang 0001, Fausto Giunchiglia, Ximing Li 0002, Yonghao Liu 0001, Xiaoyue Feng   +7 more
openaire   +2 more sources