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08/17/2023
DealMVC: Dual Contrastive Calibration for Multi-view Clustering
Benefiting from the strong view-consistent information mining capacity, ...
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04/04/2023
RARE: Robust Masked Graph Autoencoder
Masked graph autoencoder (MGAE) has emerged as a promising self-supervis...
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03/14/2023
GANN: Graph Alignment Neural Network for Semi-Supervised Learning
Graph neural networks (GNNs) have been widely investigated in the field ...
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02/15/2023
Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network
With the development of various applications, such as social networks an...
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01/03/2023
Cluster-guided Contrastive Graph Clustering Network
Benefiting from the intrinsic supervision information exploitation capab...
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12/16/2022
Hard Sample Aware Network for Contrastive Deep Graph Clustering
Contrastive deep graph clustering, which aims to divide nodes into disjo...
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12/07/2022
Contrastive Deep Graph Clustering with Learnable Augmentation
Graph contrastive learning is an important method for deep graph cluster...
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11/19/2022
Relational Symmetry based Knowledge Graph Contrastive Learning
Knowledge graph embedding (KGE) aims to learn powerful representations t...
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06/06/2022
Interpolation-based Correlation Reduction Network for Semi-Supervised Graph Learning
Graph Neural Networks (GNNs) have achieved promising performance in semi...
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05/11/2022
Simple Contrastive Graph Clustering
Contrastive learning has recently attracted plenty of attention in deep ...
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02/25/2022
Improved Dual Correlation Reduction Network
Deep graph clustering, which aims to reveal the underlying graph structu...
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02/24/2022
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning
Semi-supervised learning (SSL) has long been proved to be an effective t...
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12/29/2021
Deep Graph Clustering via Dual Correlation Reduction
Deep graph clustering, which aims to reveal the underlying graph structu...
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12/09/2021
Siamese Attribute-missing Graph Auto-encoder
Graph representation learning (GRL) on attribute-missing graphs, which i...
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05/01/2021
Multi-view Clustering via Deep Matrix Factorization and Partition Alignment
Multi-view clustering (MVC) has been extensively studied to collect mult...
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04/27/2021
Multi-view Deep One-class Classification: A Systematic Exploration
One-class classification (OCC), which models one single positive class a...
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03/21/2021
Deep Distribution-preserving Incomplete Clustering with Optimal Transport
Clustering is a fundamental task in the computer vision and machine lear...
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12/15/2020
Deep Fusion Clustering Network
Deep clustering is a fundamental yet challenging task for data analysis....
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08/31/2020
