{"total":19,"rows":[{"id":"2411.02279","title":"Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks","created":"2024-11-04","cited_by_count":4,"area":null},{"id":"2505.21387","title":"Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios","created":"2025-05-27","cited_by_count":3,"area":null},{"id":"2512.09402","title":"Wasserstein-Aligned Hyperbolic Multi-View Clustering","created":"2025-12-10","cited_by_count":3,"area":null},{"id":"2601.11102","title":"Graph Smoothing for Enhanced Local Geometry Learning in Point Cloud Analysis","created":"2026-01-16","cited_by_count":3,"area":null},{"id":"2508.04200","title":"Bootstrap Deep Spectral Clustering with Optimal Transport","created":"2025-08-06","cited_by_count":2,"area":null},{"id":"2605.15640","title":"Learning Disentangled Representations for Generalized Multi-view Clustering","created":"2026-05-15","cited_by_count":2,"area":null},{"id":"2402.16383","title":"Self Supervised Correlation-based Permutations for Multi-View Clustering","created":"2024-02-26","cited_by_count":1,"area":null},{"id":"2502.01961","title":"Hierarchical Consensus Network for Multiview Feature Learning","created":"2025-02-04","cited_by_count":1,"area":null},{"id":"2505.04046","title":"Reliable Disentanglement Multi-view Learning Against View Adversarial Attacks","created":"2025-05-07","cited_by_count":1,"area":null},{"id":"2511.13561","title":"RAC-DMVC: Reliability-Aware Contrastive Deep Multi-View Clustering under Multi-Source Noise","created":"2025-11-17","cited_by_count":1,"area":null},{"id":"2410.09484","title":"Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views","created":"2024-10-12","cited_by_count":0,"area":null},{"id":"2501.02564","title":"Balanced Multi-view Clustering","created":"2025-01-05","cited_by_count":0,"area":null},{"id":"2502.02234","title":"Mask-informed Deep Contrastive Incomplete Multi-view Clustering","created":"2025-02-04","cited_by_count":0,"area":null},{"id":"2511.05876","title":"MoEGCL: Mixture of Ego-Graphs Contrastive Representation Learning for Multi-View Clustering","created":"2025-11-08","cited_by_count":0,"area":null},{"id":"2512.00368","title":"THCRL: Trusted Hierarchical Contrastive Representation Learning for Multi-View Clustering","created":"2025-11-29","cited_by_count":0,"area":null},{"id":"2512.15396","title":"SMART: Semantic Matching Contrastive Learning for Partially View-Aligned Clustering","created":"2025-12-17","cited_by_count":0,"area":null},{"id":"2512.21516","title":"Global-Graph Guided and Local-Graph Weighted Contrastive Learning for Unified Clustering on Incomplete and Noise Multi-View Data","created":"2025-12-25","cited_by_count":0,"area":null},{"id":"2602.22568","title":"Quality-Aware Robust Multi-View Clustering for Heterogeneous Observation Noise","created":"2026-02-26","cited_by_count":0,"area":null},{"id":"2604.18024","title":"Clusterability-Based Assessment of Potentially Noisy Views for Multi-View Clustering","created":"2026-04-20","cited_by_count":0,"area":null}],"next_cursor":null}