Results 151 to 160 of about 47,538 (182)

A small set of critical hyper-motifs governs heterogeneous flow-weighted network resilience. [PDF]

Nat Commun
Zhu T, Yang X, Ma Z, Sun H, Wu J, Gao Z, Gao J.   +6 more
europepmc   +1 more source

A transcriptomic signature that predicts prehypertension in adolescence and higher systolic blood pressure in childhood. [PDF]

JCI Insight
Perchard R, Garner T, Murray PG, Roslan A, Higgins LE, Johnstone ED, Stevens A, Clayton PE.   +7 more
europepmc   +1 more source

Hypergraph Learning with Hyperedge Gating and Multiscale Topology Feature Learning for Predicting Disease-Related circRNAs. [PDF]

ACS Omega
Xuan P, Zheng R, Cui H, Sun F, Wang F, Zhang T.   +5 more
europepmc   +1 more source

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HGNN+: General Hypergraph Neural Networks

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Graph Neural Networks have attracted increasing attention in recent years. However, existing GNN frameworks are deployed based upon simple graphs, which limits their applications in dealing with complex data correlation of multi-modal/multi-type data in ...
Yue Gao, Yifan Feng, Shuyi Ji, Rongrong Ji   +3 more
semanticscholar   +1 more source

HyConvE: A Novel Embedding Model for Knowledge Hypergraph Link Prediction with Convolutional Neural Networks

The Web Conference, 2023
Knowledge hypergraph embedding, which projects entities and n-ary relations into a low-dimensional continuous vector space to predict missing links, remains a challenging area to be explored despite the ubiquity of n-ary relational facts in the real ...
Chenxu Wang, Xin Wang, Zhao Li, Zi-Yuan Chen, Jianxin Li   +4 more
semanticscholar   +1 more source

Hypergraph Similarity Measures

IEEE Transactions on Network Science and Engineering, 2023
In this paper we present a novel framework for hypergraph similarity measures (HSMs) for hypergraph comparison. Hypergraphs are generalizations of graphs in which edges may connect any number of vertices, thereby representing multi-way relationships ...
Amit Surana, Can Chen, I. Rajapakse
semanticscholar   +1 more source

Multimodal Remote Sensing Image Segmentation With Intuition-Inspired Hypergraph Modeling

IEEE Transactions on Image Processing, 2023
Multimodal remote sensing (RS) image segmentation aims to comprehensively utilize multiple RS modalities to assign pixel-level semantics to the studied scenes, which can provide a new perspective for global city understanding.
Qi He, Xian Sun, Wenhui Diao, Zhiyuan Yan, Fanglong Yao, Kun Fu   +5 more
semanticscholar   +1 more source

Hypergraph Learning: Methods and Practices

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
Hypergraph learning is a technique for conducting learning on a hypergraph structure. In recent years, hypergraph learning has attracted increasing attention due to its flexibility and capability in modeling complex data correlation.
Yue Gao, Zizhao Zhang, Haojie Lin, Xibin Zhao, S. Du, C. Zou   +5 more
semanticscholar   +1 more source

YOLOv13: Real-Time Object Detection with Hypergraph-Enhanced Adaptive Visual Perception

arXiv.org
The YOLO series models reign supreme in real-time object detection due to their superior accuracy and computational efficiency. However, both the convolutional architectures of YOLO11 and earlier versions and the area-based self-attention mechanism ...
Mengqi Lei, Siqi Li, Yihong Wu, Han Hu, You Zhou, Xinhu Zheng, Guiguang Ding, Shaoyi Du, Zongze Wu, Yue Gao   +9 more
semanticscholar   +1 more source

Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative

Neural Information Processing Systems, 2022
This paper targets at improving the generalizability of hypergraph neural networks in the low-label regime, through applying the contrastive learning approach from images/graphs (we refer to it as HyperGCL).
Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang   +5 more
semanticscholar   +1 more source