Results 141 to 150 of about 730,755 (216)

Strategy evolution on temporal hypergraphs. [PDF]

Proc Natl Acad Sci U S A
Wang X, Zhou L, McAvoy A, Tian Z, Li A.
europepmc   +1 more source

Spectral-Structural Decoupled Hypergraph Neural Network for <i>Fritillaria</i> Species Identification Using Hyperspectral Imaging. [PDF]

Foods
Wang X, Fu X, Gao K, Liu W, Xiang W, Zhu Y, Lu Y, Zhang C.   +7 more
europepmc   +1 more source

Spatiotemporal Fusion for Stock Prediction via Hypergraph Attention Gated Recurrent Units. [PDF]

Entropy (Basel)
Cao X, Qian C, Huang H.
europepmc   +1 more source

Optimization Method for Robustness of Hypernetwork Communication with Integrated Structural Features. [PDF]

Entropy (Basel)
Chen L, Ma X, Ma F.
europepmc   +1 more source

A note on self-complementary 4-uniform hypergraphs

Tyt. z nagł.Abstract. We prove that a permutation theta is complementing permutation for a 4-uniform hypergraph if and only if one of the following cases is satisfied: (i) the length of every cycle of theta is a multiple of 8, (ii) theta has 1, 2 or 3 ...
Szymański, Artur
core  

Hypergraph-based decay analysis for predicting and classifying states beyond regge trajectories. [PDF]

PLoS One
Gao J.
europepmc   +1 more source

Link Prediction in Heterogeneous Information Networks: Improved Hypergraph Convolution with Adaptive Soft Voting. [PDF]

Entropy (Basel)
Zhang S, Huang Y, Luo Z, Zhou J, Wu B, Sun K, Mao H.   +6 more
europepmc   +1 more source

HyperSTAR: Unveiling Tissue Structure and Tumor Microenvironment from Spatial Omics by Hypergraph Learning. [PDF]

Genomics Proteomics Bioinformatics
Liao 廖异 Y, Zhang 张宠 C, Wang 王智康 Z, Qi 齐飞 F, Huang 黄伟填 W, Cai 蔡尚妍 S, Li 李俊宇 J, Chen 陈佳洲 J, Gasser RB, Yuan 原致远 Z, Song 宋江宁 J, Cai 蔡宏民 H.   +11 more
europepmc   +1 more source

Hyper-RAG: combating LLM hallucinations using hypergraph-driven retrieval-augmented generation. [PDF]

Nat Commun
Feng Y, Hu H, Ying S, Hou X, Liu S, Yang M, Li J, Du S, Zheng N, Hu H, Gao Y.   +10 more
europepmc   +1 more source

Tensorized Hypergraph Neural Networks

Hypergraph neural networks (HGNN) have recently become attractive and received significant attention due to their excellent performance in various domains.
Xu, Zenglin, Wang, Maolin, Pan, Yu, Guo, Ruocheng, Zhuang, Chenyi, Zhao, Xiangyu, Zhen, Yaoming, Zhao, Yao   +7 more
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