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08/14/2023
Knowledge Prompt-tuning for Sequential Recommendation
Pre-trained language models (PLMs) have demonstrated strong performance ...
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06/16/2023
HomoGCL: Rethinking Homophily in Graph Contrastive Learning
Contrastive learning (CL) has become the de-facto learning paradigm in s...
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06/16/2023
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification
Class imbalance is the phenomenon that some classes have much fewer inst...
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05/12/2023
One-step Bipartite Graph Cut: A Normalized Formulation and Its Application to Scalable Subspace Clustering
The bipartite graph structure has shown its promising ability in facilit...
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01/11/2023
Heterogeneous Tri-stream Clustering Network
Contrastive deep clustering has recently gained significant attention wi...
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12/29/2022
Deep Temporal Contrastive Clustering
Recently the deep learning has shown its advantage in representation lea...
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11/28/2022
Dual Information Enhanced Multi-view Attributed Graph Clustering
Multi-view attributed graph clustering is an important approach to parti...
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09/09/2022
Efficient Multi-view Clustering via Unified and Discrete Bipartite Graph Learning
Although previous graph-based multi-view clustering algorithms have gain...
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08/25/2022
Adaptively-weighted Integral Space for Fast Multiview Clustering
Multiview clustering has been extensively studied to take advantage of m...
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07/14/2022
Image Clustering with Contrastive Learning and Multi-scale Graph Convolutional Networks
Deep clustering has recently attracted significant attention. Despite th...
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06/26/2022
Vision Transformer for Contrastive Clustering
Vision Transformer (ViT) has shown its advantages over the convolutional...
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06/22/2022
Multi-party Secure Broad Learning System for Privacy Preserving
Multi-party learning is an indispensable technique for improving the lea...
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06/19/2022
Gray Learning from Non-IID Data with Out-of-distribution Samples
The quality of the training data annotated by experts cannot be guarante...
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06/01/2022
Strongly Augmented Contrastive Clustering
Deep clustering has attracted increasing attention in recent years due t...
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06/01/2022
DeepCluE: Enhanced Image Clustering via Multi-layer Ensembles in Deep Neural Networks
Deep clustering has recently emerged as a promising technique for comple...
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04/20/2022
Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach
Recently, Deep Neural Networks (DNNs) have been widely introduced into C...
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04/18/2022
Joint Multi-view Unsupervised Feature Selection and Graph Learning
Despite the recent progress, the existing multi-view unsupervised featur...
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03/22/2022
Fast Multi-view Clustering via Ensembles: Towards Scalability, Superiority, and Simplicity
Despite significant progress, there remain three limitations to the prev...
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03/15/2022
Seeking Commonness and Inconsistencies: A Jointly Smoothed Approach to Multi-view Subspace Clustering
Multi-view subspace clustering aims to discover the hidden subspace stru...
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03/12/2022
G^3SR: Global Graph Guided Session-based Recommendation
Session-based recommendation tries to make use of anonymous session data...
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03/10/2021
BCFNet: A Balanced Collaborative Filtering Network with Attention Mechanism
Collaborative Filtering (CF) based recommendation methods have been wide...
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08/24/2020
Multi-view Graph Learning by Joint Modeling of Consistency and Inconsistency
Graph learning has emerged as a promising technique for multi-view clust...
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03/04/2019
Ultra-Scalable Spectral Clustering and Ensemble Clustering
This paper focuses on scalability and robustness of spectral clustering ...
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01/15/2019
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
In general, recommendation can be viewed as a matching problem, i.e., ma...
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11/12/2018
Generative Dual Adversarial Network for Generalized Zero-shot Learning
This paper studies the problem of generalized zero-shot learning which r...
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10/30/2018
Enhanced Ensemble Clustering via Fast Propagation of Cluster-wise Similarities
Ensemble clustering has been a popular research topic in data mining and...
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08/29/2018
dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction
Mood disorders are common and associated with significant morbidity and ...
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10/09/2017
Toward Multi-Diversified Ensemble Clustering of High-Dimensional Data
The emergence of high-dimensional data in various areas has brought new ...
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06/03/2016
Robust Ensemble Clustering Using Probability Trajectories
Although many successful ensemble clustering approaches have been develo...
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05/06/2014