Research map / Graph learning / Graph algorithms and clustering
Scalable Attributed-Graph Subspace Clustering
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use SAGSC instead of GCC | Attributed-graph clustering · ACM | CA: 91.3 ± 0.0 -> 93.3 ± 0.1 | Helped |
| Use SAGSC instead of GCC | Attributed-graph clustering · DBLP | CA: 91.8 ± 0.0 -> 93.1 ± 0.1 | Helped |
| Use SAGSC instead of GCC | Attributed-graph clustering · Wiki | CA: 53.7 ± 1.4 -> 56.0 ± 2.1 | Helped |
| Use SAGSC instead of GCC | Attributed-graph clustering · Amazon Computers | CA: 67.6 ± 0.0 -> 69.0 ± 1.0 | Helped |
| Use SAGSC instead of S²GC | Attributed-graph clustering · PubMed | CA: 71.0 ± 0.0 -> 71.1 ± 0.0 | Helped |
| Use SAGSC instead of S²GC | Attributed-graph clustering · OGBN-arXiv | CA: 41.9 ± 0.3 -> 47.8 ± 1.7 | Helped |
| Choose propagation power with the proposed elbow heuristic rather than the best power selected by grid search (ablation) | SAGSC · ACM | clustering accuracy: 0.23 | No clear effect |
Closest papers by meaning
- Adaptive Graph Convolutional Subspace Clustering (CVPR 2023 · similarity 0.91)
- Discriminative Attribute Graph Clustering Through Topology-Guided Contrastive Learning (ICML 2026 · similarity 0.88)
- Self-Supervised Convolutional Subspace Clustering Network (CVPR 2019 · similarity 0.87)
- DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization (AAAI 2024 · similarity 0.87)
- Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation (ICML 2025 · similarity 0.87)
- Exploring a Principled Framework for Deep Subspace Clustering (ICLR 2025 · similarity 0.86)
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