Research map / Graph learning / Graph self-supervised learning
Hypergraph Label Propagation Network
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| learn instance-wise scale via scale embedding module instead of fixed sigma=10 (ablation) | HLPN · Sina Weibo, multi-modal combinations | accuracy: about 3% or greater | Helped |
| learn instance-wise scale via scale embedding module (ablation) | HLPN · Sina Weibo, Emoticon modality | accuracy | Hurt |
| fuse text+visual+emoticon vs text+emoticon (ablation) | HLPN · Sina Weibo | accuracy: 0.896 -> 0.947 | Helped |
| HLPN vs Bi-MHG on emoticon-only modality | HLPN · Sina Weibo, E | accuracy: 0.903 -> 0.889 | Hurt |
| end-to-end hypergraph label propagation network vs Bi-MHG | HLPN · Sina Weibo, TVE | accuracy: 0.900 -> 0.947 | Helped |
| HLPN vs MHG running time | HLPN · Sina Weibo, TVE | running time: 178 seconds -> 36 seconds | Helped |
Closest papers by meaning
- Training-Free Message Passing for Learning on Hypergraphs (ICLR 2025 · similarity 0.87)
- Multi-Label Node Classification with Label Influence Propagation (ICLR 2025 · similarity 0.86)
- Hypergraph-enhanced Dual Semi-supervised Graph Classification (ICML 2024 · similarity 0.85)
- NLGT: Neighborhood-based and Label-enhanced Graph Transformer Framework for Node Classification (AAAI 2025 · similarity 0.85)
- K-hop Hypergraph Neural Network: A Comprehensive Aggregation Approach (AAAI 2025 · similarity 0.85)
- Label Attentive Distillation for GNN-Based Graph Classification (AAAI 2024 · similarity 0.84)
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