Hypergraph transformer for semi-supervised classification

Hypergraph transformer for semi-supervised classification

Hypergraphs play a pivotal role in the modelling of data featuring higher-order relations involving more than two entities. Hypergraph neural networks emerge as a powerful tool for processing hypergraph-structured data, delivering remarkable performance across various tasks, e.g., hypergraph node cl...

Descrizione completa

Dettagli Bibliografici
Autori principali:	Liu, Z, Tang, B, Ye, Z, Dong, X, Chen, S, Wang, Y
Natura:	Conference item
Lingua:	English
Pubblicazione:	IEEE 2024

Documenti analoghi

Semi-Supervised Classification via Hypergraph Convolutional Extreme Learning Machine
di: Zhewei Liu, et al.
Pubblicazione: (2021-04-01)

Laplacian-based semi-Supervised learning in multilayer hypergraphs by coordinate descent
di: Sara Venturini, et al.
Pubblicazione: (2023-01-01)

Hypergraph-Mlp: learning on hypergraphs without message passing
di: Tang, B, et al.
Pubblicazione: (2024)

Hypergraph based semi-supervised symmetric nonnegative matrix factorization for image clustering
di: Yin, Jingxing, et al.
Pubblicazione: (2023)

Hypergraph-Supervised Deep Subspace Clustering
di: Yu Hu, et al.
Pubblicazione: (2021-12-01)

Semi-Supervised Feature Transformation for Tissue Image Classification.
di: Kenji Watanabe, et al.
Pubblicazione: (2016-01-01)

Gaussian transformation enhanced semi-supervised learning for sleep stage classification
di: Yifan Guo, et al.
Pubblicazione: (2023-05-01)

Self-Supervised Hypergraph Learning for Enhanced Multimodal Representation
di: Hongji Shu, et al.
Pubblicazione: (2024-01-01)

Learning hypergraphs from signals with dual smoothness prior
di: Tang, B, et al.
Pubblicazione: (2023)

Semi-algebraic graphs and hypergraphs in incidence geometry
di: Do, Thao Thi Thu.
Pubblicazione: (2019)

Semi-supervised vision transformer with adaptive token sampling for breast cancer classification
di: Wei Wang, et al.
Pubblicazione: (2022-07-01)

Survey of Multi-label Classification Based on Supervised and Semi-supervised Learning
di: WU Hong-xin, HAN Meng, CHEN Zhi-qiang, ZHANG Xi-long, LI Mu-hang
Pubblicazione: (2022-08-01)

SEMI-SUPERVISED MARGINAL FISHER ANALYSIS FOR HYPERSPECTRAL IMAGE CLASSIFICATION
di: H. Huang, et al.
Pubblicazione: (2012-07-01)

Building Function Recognition Using the Semi-Supervised Classification
di: Xuejing Xie, et al.
Pubblicazione: (2022-10-01)

Multi-order hypergraph convolutional networks integrated with self-supervised learning
di: Jiahao Huang, et al.
Pubblicazione: (2023-01-01)

HGATT_LR: transforming review text classification with hypergraphs attention layer and logistic regression
di: S. Pradeepa, et al.
Pubblicazione: (2024-08-01)

Hypergraph convolution and hypergraph attention
di: Bai, S, et al.
Pubblicazione: (2020)

Meta-learning for semi-supervised few-shot classification
di: Tenenbaum, Joshua B
Pubblicazione: (2020)

ReliaMatch: Semi-Supervised Classification with Reliable Match
di: Tao Jiang, et al.
Pubblicazione: (2023-07-01)

Variational Information Bottleneck for Semi-Supervised Classification
di: Slava Voloshynovskiy, et al.
Pubblicazione: (2020-08-01)

Improving Semi-Supervised Classification using Clustering
di: J. Arora, et al.
Pubblicazione: (2020-03-01)

Semi-Supervised Classification Based on Low Rank Representation
di: Xuan Hou, et al.
Pubblicazione: (2016-07-01)

Semi-Supervised Autoencoder for Chemical Gas Classification with FTIR Spectrum
di: Hee-Deok Jang, et al.
Pubblicazione: (2024-06-01)

Decomposing hypergraphs into k-colorable hypergraphs
di: Gholamreza Omidi, et al.
Pubblicazione: (2014-06-01)

Toward Supervision of Stochastic System-of- Systems Engineering: A Multi-Level Hypergraph Approach
di: Abbass Chreim, et al.
Pubblicazione: (2024-01-01)

Semi-Supervised Training of Transformer and Causal Dilated Convolution Network with Applications to Speech Topic Classification
di: Jinxiang Zeng, et al.
Pubblicazione: (2021-06-01)

Stockwell transform and semi-supervised feature selection from deep features for classification of BCI signals
di: Sahar Salimpour, et al.
Pubblicazione: (2022-07-01)

Self-Supervised Assisted Semi-Supervised Residual Network for Hyperspectral Image Classification
di: Liangliang Song, et al.
Pubblicazione: (2022-06-01)

Clustering and semi-supervised classification with application to driver distraction detection
di: Liu, Tianchi
Pubblicazione: (2018)

Semi-supervised multi-label collective classification ensemble for functional genomics
di: Wu, Qingyao, et al.
Pubblicazione: (2015)

Hypergraph and Uncertain Hypergraph Representation Learning Theory and Methods
di: Liyan Zhang, et al.
Pubblicazione: (2022-06-01)

Semi-supervised dictionary learning with label propagation for image classification
di: Lin Chen, et al.
Pubblicazione: (2017-03-01)

Semi-supervised Classification Based Mixed Sampling for Imbalanced Data
di: Zhao Jianhua, et al.
Pubblicazione: (2019-12-01)

Quasirandomness in hypergraphs
di: Aigner-Horev, E, et al.
Pubblicazione: (2017)

Quasirandomness in hypergraphs
di: Aigner-Horev, E, et al.
Pubblicazione: (2018)

Semi-supervised Multi-view Classification via Consistency Constraints
di: LIU Yu, MENG Min, WU Jigang
Pubblicazione: (2022-01-01)

Intersections of hypergraphs
di: Bollobas, B, et al.
Pubblicazione: (2014)

Improved Active Deep Learning for Semi-Supervised Classification of Hyperspectral Image
di: Qingyan Wang, et al.
Pubblicazione: (2021-12-01)

A semi-supervised approach to message stance classification
di: Giasemidis, G, et al.
Pubblicazione: (2018)

Semi-supervised learning of functional connectome for disease classification
di: Yew, Wei Chee
Pubblicazione: (2022)