Selective Hypergraph Refinement for Frozen Graph Clustering

arXiv:2609.03265 · cs.LG · Submitted 2026-09-03 · Read on arXiv

cs.LG

Submitted: 2026-09-03

Updated: 2026-09-03

Comments: 36 pages, 9 figures; includes appendices

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Clustering — 91× in this paper · explained in 2 episodes
• Hypergraph — 84× in this paper · explained in 2 episodes
• Provenance — 23× in this paper · explained in 3 episodes
• Ablation — 16× in this paper · explained in 1 episode
• Aggregation — 12× in this paper · explained in 1 episode
• AUC — 11× in this paper · explained in 2 episodes
• Adam — 8× in this paper · explained in 2 episodes
• Robustness — 8× in this paper · explained in 5 episodes
• Alignment — 7× in this paper · explained in 1 episode
• Calibration — 7× in this paper · explained in 7 episodes
• Frozen model — 7× in this paper · explained in 3 episodes
• Selective Hypergraph Refinement — 6× in this paper
• Adaptation — 5× in this paper · explained in 1 episode
• Distillation — 4× in this paper · explained in 2 episodes
• Adjacency Matrix — 3× in this paper · explained in 1 episode
• Generative AI — 3× in this paper · explained in 2 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• Representation Learning — 3× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• GNNs — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Heterogeneous Graph — 1× in this paper · explained in 2 episodes

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