Cover Image

Dynamic Deep Graph Learning for Incomplete Multi-View Clustering with Masked Graph Reconstruction Loss

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Zhenghao, Xie, Jun, Chen, Xingchen, Yu, Tao, Yi, Hongzhu, Xu, Kaixin, Wang, Yuanxiang, Zong, Tianyu, Wang, Xinming, Chen, Jiahuan, Chao, Guoqing, Chen, Feng, Wang, Zhepeng, Xu, Jungang
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

JTCSE: Joint Tensor-Modulus Constraints and Cross-Attention for Unsupervised Contrastive Learning of Sentence Embeddings
by: Zong, Tianyu, et al.
Published: (2025)

RPO:Reinforcement Fine-Tuning with Partial Reasoning Optimization
by: Yi, Hongzhu, et al.
Published: (2026)

Global Graph Propagation with Hierarchical Information Transfer for Incomplete Contrastive Multi-view Clustering
by: Chao, Guoqing, et al.
Published: (2025)

TNCSE: Tensor's Norm Constraints for Unsupervised Contrastive Learning of Sentence Embeddings
by: Zong, Tianyu, et al.
Published: (2025)

Federated Incomplete Multi-view Clustering with Globally Fused Graph Guidance
by: Chao, Guoqing, et al.
Published: (2025)

Multimodal Video Emotion Recognition with Reliable Reasoning Priors
by: Wang, Zhepeng, et al.
Published: (2025)

VDE Bench: Evaluating The Capability of Image Editing Models to Modify Visual Documents
by: Yi, Hongzhu, et al.
Published: (2026)

Four Eyes Are Better Than Two: Harnessing the Collaborative Potential of Large Models via Differentiated Thinking and Complementary Ensembles
by: Xie, Jun, et al.
Published: (2025)

Team of One: Cracking Complex Video QA with Model Synergy
by: Xie, Jun, et al.
Published: (2025)

Federated Incomplete Multi-View Clustering with Heterogeneous Graph Neural Networks
by: Yan, Xueming, et al.
Published: (2024)

More Is Better: A MoE-Based Emotion Recognition Framework with Human Preference Alignment
by: Xie, Jun, et al.
Published: (2025)

Towards Principled Dataset Distillation: A Spectral Distribution Perspective
by: Wu, Ruixi, et al.
Published: (2026)

MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation
by: Yan, Mi, et al.
Published: (2024)

Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs
by: Yu, Xingtong, et al.
Published: (2023)

Global-Graph Guided and Local-Graph Weighted Contrastive Learning for Unified Clustering on Incomplete and Noise Multi-View Data
by: He, Hongqing, et al.
Published: (2025)

Variational Graph Generator for Multi-View Graph Clustering
by: Chen, Jianpeng, et al.
Published: (2022)

Deep Cut-informed Graph Embedding and Clustering
by: Ning, Zhiyuan, et al.
Published: (2025)

Joint Tensor and Inter-View Low-Rank Recovery for Incomplete Multiview Clustering
by: Wang, Jianyu, et al.
Published: (2025)

Deep Temporal Graph Clustering: A Comprehensive Benchmark and Datasets
by: Liu, Meng, et al.
Published: (2026)

RIDA: A Robust Attack Framework on Incomplete Graphs
by: Yu, Jianke, et al.
Published: (2024)

Deep Contrastive Graph Learning with Clustering-Oriented Guidance
by: Chen, Mulin, et al.
Published: (2024)

Deep Incomplete Multi-View Clustering via Hierarchical Imputation and Alignment
by: Du, Yiming, et al.
Published: (2026)

A Supervised Variational Autoencoder for Incomplete Multi‐View Classification
by: Yi Xu, et al.
Published: (2025)

FAIRGAMER: Evaluating Social Biases in LLM-Based Video Game NPCs
by: Shi, Bingkang, et al.
Published: (2025)

Node-Time Conditional Prompt Learning In Dynamic Graphs
by: Yu, Xingtong, et al.
Published: (2024)

Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question Answering
by: Xu, Yao, et al.
Published: (2024)

Mask-informed Deep Contrastive Incomplete Multi-view Clustering
by: Li, Zhenglai, et al.
Published: (2025)

Dual-Optimized Adaptive Graph Reconstruction for Multi-View Graph Clustering
by: Wen, Zichen, et al.
Published: (2024)

Information Recovery-Driven Deep Incomplete Multiview Clustering Network
by: Liu, Chengliang, et al.
Published: (2023)

MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data
by: Zhou, Jianping, et al.
Published: (2024)

Graph Clustering with Cross-View Feature Propagation
by: Duan, Zhixuan, et al.
Published: (2024)

Learning to Fuse and Reconstruct Multi-View Graphs for Diabetic Retinopathy Grading
by: Li, Haoran, et al.
Published: (2026)

URRL-IMVC: Unified and Robust Representation Learning for Incomplete Multi-View Clustering
by: Teng, Ge, et al.
Published: (2024)

Towards Learnable Anchor for Deep Multi-View Clustering
by: Wang, Bocheng, et al.
Published: (2025)

Topology-Aware Reasoning over Incomplete Knowledge Graph with Graph-Based Soft Prompting
by: Wang, Shuai, et al.
Published: (2026)

Manifold-based Incomplete Multi-view Clustering via Bi-Consistency Guidance
by: Wang, Huibing, et al.
Published: (2024)

Masked Graph Transformer for Large-Scale Recommendation
by: Chen, Huiyuan, et al.
Published: (2024)

OTESGN: Optimal Transport-Enhanced Syntactic-Semantic Graph Networks for Aspect-Based Sentiment Analysis
by: Liao, Xinfeng, et al.
Published: (2025)

Automatic Building Aggregation Supported by Knowledge Graph
by: Youneng Su, et al.
Published: (2025)

Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders
by: Liu, Chuang, et al.
Published: (2024)