Research map / Graph learning / Knowledge and temporal graphs
Graph Heterogeneous Multi-Relational Recommendation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use relation-aware graph propagation and multi-task learning instead of EHCF | GHCF · Beibei | HR@100: 0.4312 -> 0.4711 | Helped |
| Use relation-aware graph propagation and multi-task learning instead of EHCF | GHCF · Taobao | HR@100: 0.2211 -> 0.2599 | Helped |
| Add view interactions to purchase interactions (ablation) | GHCF · Beibei and Taobao | HR@100 | Helped |
| Add add-to-cart interactions to purchase interactions (ablation) | GHCF · Beibei and Taobao | HR@100 | Helped |
| Add both view and add-to-cart interactions (ablation) | GHCF · Beibei and Taobao | HR@100 | Helped |
| Increase propagation depth from 1 to 4 layers (ablation) | GHCF · Beibei | HR@100: 0.4569 -> 0.4711 | Helped |
| Increase propagation depth from 1 to 4 layers (ablation) | GHCF · Taobao | HR@100: 0.2473 -> 0.2599 | Helped |
| Increase propagation depth from 4 to 5 layers (ablation) | GHCF · Beibei and Taobao | HR@100: 0.4711 -> 0.4681; 0.2599 -> 0.2558 | Hurt |
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