Research map / Label-efficient and robust learning / Recognition and long-tail
Hyperbolic Heterogeneous Information Network Embedding
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| hyperbolic (Poincaré) instead of Euclidean embedding space with meta-path walks | metapath2vec · MovieLens M-D link prediction, dim 2 | AUC: 0.6191 -> 0.8520 | Helped |
| hyperbolic instead of Euclidean embedding space | metapath2vec · DBLP P-A link prediction, dim 25 | AUC: 0.8803 -> 0.9117 | Helped |
| hyperbolic instead of Euclidean embedding space | metapath2vec · DBLP P-A network reconstruction, dim 2 | AUC: 0.6686 -> 0.9835 | Helped |
| add heterogeneous meta-path guided walks to hyperbolic embedding | PoincaréEmb · DBLP P-A link prediction, dim 25 | AUC: 0.7830 -> 0.9117 | Helped |
| hyperbolic instead of Euclidean first-order proximity | LINE(1st) · link prediction, dim < 10 | AUC | Helped |
| larger neighborhood size (ablation) | HHNE · DBLP network reconstruction | AUC | Hurt |
| vary walks per node and walk length (ablation) | HHNE · DBLP network reconstruction | AUC | No clear effect |
Closest papers by meaning
- Relation Structure-Aware Heterogeneous Information Network Embedding (AAAI 2019 · similarity 0.92)
- Embedding Heterogeneous Networks into Hyperbolic Space Without Meta-path (AAAI 2021 · similarity 0.91)
- Weighted Embeddings for Low-Dimensional Graph Representation (AAAI 2025 · similarity 0.87)
- How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings (ICLR 2025 · similarity 0.86)
- THGNets: Constrained Temporal Hypergraphs and Graph Neural Networks in Hyperbolic Space for Information Diffusion Prediction (AAAI 2025 · similarity 0.85)
- Non-Euclidean Mixture Model for Social Network Embedding (NeurIPS 2024 · similarity 0.85)
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