Results 251 to 260 of about 56,309 (276)

Information Propagation in Hypergraph-Based Social Networks. [PDF]

Entropy (Basel)
Xiao HB, Hu F, Li PY, Song YR, Zhang ZK.
europepmc   +1 more source

An application of node and edge nonlinear hypergraph centrality to a protein complex hypernetwork. [PDF]

PLoS One
Lawson S, Donovan D, Lefevre J.
europepmc   +1 more source

Dynamic category-sensitive hypergraph inferring and homo-heterogeneous neighbor feature learning for drug-related microbe prediction. [PDF]

Bioinformatics
Xuan P, Xu Z, Cui H, Gu J, Liu C, Zhang T, Wu P.   +6 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

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 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

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