Research map / Graph learning / Graph self-supervised learning
Multi-view Contrastive Graph Clustering
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add contrastive regularizer J (vs Frobenius term) (ablation) | MCGC · ACM | ACC: 0.8334 -> 0.9147 | Helped |
| Add contrastive regularizer J (vs Frobenius term) (ablation) | MCGC · DBLP | ACC: 0.7658 -> 0.9298 | Helped |
| Add contrastive regularizer J (vs Frobenius term) (ablation) | MCGC · IMDB | ACC: 0.5636 -> 0.6182 | Helped |
| Add contrastive regularizer J (vs Frobenius term) (ablation) | MCGC · Amazon photos | ACC: 0.5882 -> 0.7164 | Helped |
| Add contrastive regularizer J (vs Frobenius term) (ablation) | MCGC · Amazon computers | ACC: 0.4662 -> 0.5967 | Helped |
| Add contrastive regularizer J (vs Frobenius term) (ablation) | MCGC · IMDB | F1: 0.4444 -> 0.4401 | No clear effect |
| Use both graph views G1 and G2 instead of only G1 (ablation) | MCGC · ACM | ACC: 0.9088 -> 0.9147 | Helped |
| Use both graph views instead of only G2 (ablation) | MCGC · ACM | ACC: 0.8152 -> 0.9147 | Helped |
| Use both feature views instead of only X1 (ablation) | MCGC · Amazon photos | ACC: 0.4433 -> 0.7164 | Helped |
| Use both feature views instead of only X2 (ablation) | MCGC · Amazon photos | ACC: 0.6935 -> 0.7164 | Helped |
| Add graph filtering (vs MCGC-) (ablation) | MCGC · ACM | ACC: 0.9061 -> 0.9147 | Helped |
| Add graph filtering (vs MCGC-) (ablation) | MCGC · DBLP | ACC: 0.9162 -> 0.9298 | Helped |
Closest papers by meaning
- Multi-View Graph Clustering via Node-Guided Contrastive Encoding (ICML 2025 · similarity 0.91)
- Global Graph Propagation with Hierarchical Information Transfer for Incomplete Contrastive Multi-view Clustering (AAAI 2025 · similarity 0.91)
- Medusa: A Multi-Scale High-order Contrastive Dual-Diffusion Approach for Multi-View Clustering (CVPR 2025 · similarity 0.90)
- SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering (AAAI 2024 · similarity 0.90)
- EASEMVC:Efficient Dual Selection Mechanism for Deep Multi-View Clustering (CVPR 2025 · similarity 0.90)
- Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding (AAAI 2024 · similarity 0.89)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
