Hypergraph spectral learning for multi-label classification (original) (raw)

A Survey on Hypergraph Representation Learning

Mirko Polato

ACM Computing Surveys

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On The Effect of Hyperedge Weights On Hypergraph Learning

Ahmed Elgammal

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Learning Hypergraph-regularized Attribute Predictors

Ahmed Elgammal

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015

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Heterogeneous Hypergraph Embedding for Graph Classification

Hongzhi Yin

Proceedings of the 14th ACM International Conference on Web Search and Data Mining, 2021

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Canonical Correlation Analysis for Multilabel Classification: A Least-Squares Formulation, Extensions, and Analysis

Jieping Ye

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011

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HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs

devanshu arya

arXiv (Cornell University), 2020

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Literature Review of recent advancements in Hypergraph Learning as it relates to optimizer

Siddhant Jha

2022

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Multi-label semi-supervised learning using regularized kernel spectral clustering

Siamak Mehrkanoon

2016 International Joint Conference on Neural Networks (IJCNN), 2016

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Un-normalized hypergraph p-Laplacian based semi-supervised learning methods

Loc Tran

2018

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Multi-label Collective Classification Using Adaptive Neighborhoods

Huzefa Rangwala

2012 11th International Conference on Machine Learning and Applications, 2012

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Representation Learning for Sparse, High Dimensional Multi-label Classification

Axel Soto

Rough Sets and Current Trends in Computing, 2012

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How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction

Hyungseok Song

Proceedings of The Web Conference 2020, 2020

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Graph Spectral Feature Learning for Mixed Data of Categorical and Numerical Type

Saswata Sahoo

2020 25th International Conference on Pattern Recognition (ICPR)

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IJERT-Image Classification through Dynamic Hyper Graph Learning

IJERT Journal

International Journal of Engineering Research and Technology (IJERT), 2013

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Hypergraph based semi-supervised learning algorithms applied to speech recognition problem: a novel approach

Loc Tran

ArXiv, 2018

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Multi-label classification by mining label and instance correlations from heterogeneous information networks

Philip Yu

Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, 2013

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Multi-Label Collective Classification

Xiaoxiao Shi

cs.uic.edu

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Combinatorial and Random Walk Hypergraph Laplacian Eigenmaps

Loc Tran

International Journal of Machine Learning and Computing, 2015

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Block Randomized Optimization for Adaptive Hypergraph Learning

Georgios D. Karantaidis

2019 IEEE International Conference on Image Processing (ICIP), 2019

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Hunt For The Unique, Stable, Sparse And Fast Feature Learning On Graphs

Saurabh Verma

2017

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Noise-robust classification with hypergraph neural network

Indonesian Journal of Electrical Engineering and Computer Science

Indonesian Journal of Electrical Engineering and Computer Science, 2021

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Spectral Clustering of Attributed Multi-relational Graphs

Ylli Sadikaj

Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021

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Extreme multi-label learning : A large scale classification approach in machine learning

Amit Thakkar

Journal of Information and Optimization Sciences, 2019

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Supervised hypergraph labeling

Ahmed Elgammal

CVPR 2011, 2011

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A top-down supervised learning approach to hierarchical multi-label classification in networks

Jorge Finke

Applied Network Science, 2022

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Spectral clustering based on hypergraph and self-re-presentation

Debo Cheng

Multimedia Tools and Applications, 2016

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GCN-based multi-label node classification in heterogeneous networks

Sajad Bastami

Research Square (Research Square), 2023

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Feature Selection for Multi-label Classification Using Neighborhood Preservation

IEEE/CAA J. Autom. Sinica

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A Convex Formulation for Semi-Supervised Multi-Label Feature Selection

Oscar Chang

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Clustering in a high-dimensional space using hypergraph models

Bamshad Mobasher

1997

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A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings

Shunan Guo

arXiv (Cornell University), 2022

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Exploiting Relational Information in Social Networks using Geometric Deep Learning on Hypergraphs

Marcel Worring

Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval

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Directed Hypergraph Neural Network

Loc Tran

Journal of Advanced Research in Dynamical and Control Systems

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