Research map / Graph learning / Graph self-supervised learning
Beyond Link Prediction: Predicting Hyperlinks in Adjacency Space
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| CMM hyperlink prediction in adjacency space vs Bayesian Set | Bayesian Set · Cantonese recipes | AUC: 0.4463 -> 0.6608 | Helped |
| CMM vs SHC | SHC · metabolic network (c) iAF692 | AUC: 0.6165±0.0178 -> 0.7035±0.0260 | Helped |
| CMM vs SHC | SHC · metabolic networks (a),(b) | AUC | Mixed |
Closest papers by meaning
- Revisiting Link Prediction: a data perspective (ICLR 2024 · similarity 0.87)
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- HYPER: A Foundation Model for Inductive Link Prediction with Knowledge Hypergraphs (ICLR 2026 · similarity 0.87)
- GNNs Meet Sequence Models Along the Shortest-Path: an Expressive Method for Link Prediction (NeurIPS 2026 · similarity 0.86)
- OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Prediction (NeurIPS 2025 · similarity 0.86)
- Complete-Tree Space Favors Data-Efficient Link Prediction (ICML 2025 · similarity 0.85)
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