Research map / Graph learning / Graph self-supervised learning
Multi-Facet Network Embedding: Beyond the General Solution of Detection and Representation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use multi-facet embeddings (MNE, Z=2) instead of single-facet LINE | network embedding · UChicago Gender 9% | accuracy: 56.9 -> 59.7 | Helped |
| use MNE instead of LINE | network embedding · Temple Dormitory 9% | accuracy: 38.2 -> 41.9 | Helped |
| use MNE instead of LINE | network embedding · Mississippi Grade 9% | accuracy: 63.2 -> 63.8 | Helped |
| increase number of facets Z (best at 2 or 4) | MNE · Facebook100 prediction tasks | accuracy | Mixed |
| vary diversity weight alpha (ablation) | MNE · Facebook100 prediction tasks | accuracy | No clear effect |
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