Research map / Graph learning / Graph algorithms and clustering
Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-View Clustering
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add adaptive view-weighted learning (ablation) | HCLS CGL · BBCSport and 3 Sources, different missing-view rates | ACC (%) | Helped |
| Add confidence-neighbor graph regularization (ablation) | HCLS CGL · BBCSport and 3 Sources, different missing-view rates | ACC (%) | Helped |
Closest papers by meaning
- SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering (AAAI 2024 · similarity 0.90)
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- Global Graph Propagation with Hierarchical Information Transfer for Incomplete Contrastive Multi-view Clustering (AAAI 2025 · similarity 0.89)
- A Non-parametric Graph Clustering Framework for Multi-View Data (AAAI 2024 · similarity 0.88)
- Highly Efficient Rotation-Invariant Spectral Embedding for Scalable Incomplete Multi-View Clustering (AAAI 2025 · similarity 0.88)
- Fast Incomplete Multi-view Clustering by Flexible Anchor Learning (ICML 2025 · similarity 0.88)
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