Research map / Graph learning / Knowledge and temporal graphs
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use KHGT instead of KGAT | Multi-behavior recommendation · Yelp | HR@10: 0.835 -> 0.880 | Helped |
| Use KHGT instead of KGAT | Multi-behavior recommendation · Yelp | NDCG@10: 0.543 -> 0.603 | Helped |
| Use KHGT instead of MATN | Multi-behavior recommendation · MovieLens | HR@10: 0.847 -> 0.861 | Helped |
| Use KHGT instead of MATN | Multi-behavior recommendation · MovieLens | NDCG@10: 0.569 -> 0.597 | Helped |
| Use KHGT instead of KGAT | Multi-behavior recommendation · Online Retail | HR@10: 0.377 -> 0.464 | Helped |
| Use KHGT instead of MBGCN | Multi-behavior recommendation · Online Retail | NDCG@10: 0.222 -> 0.278 | Helped |
| Replace attentive heterogeneous aggregation with graph convolution (ablation) | KHGT · Reported ablation evaluation | Recommendation performance | Hurt |
| Remove the mutual relation encoder (ablation) | KHGT · Reported ablation evaluation | Recommendation performance | Hurt |
| Replace gated fusion with mean pooling (ablation) | KHGT · Reported ablation evaluation | Recommendation performance | Hurt |
| Remove temporal context embeddings (ablation) | KHGT · Reported ablation evaluation | Recommendation performance | Hurt |
| Remove item-item relations (ablation) | KHGT · Reported ablation evaluation | Recommendation performance | Hurt |
| Include all available behavior types rather than only the target or a subset (ablation) | KHGT · Yelp and Online Retail | Recommendation performance | Helped |
Closest papers by meaning
- DOGE: LLMs-Enhanced Hyper-Knowledge Graph Recommender for Multimodal Recommendation (AAAI 2025 · similarity 0.89)
- Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models (AAAI 2025 · similarity 0.88)
- LGMRec: Local and Global Graph Learning for Multimodal Recommendation (AAAI 2024 · similarity 0.87)
- Language Representations Can be What Recommenders Need: Findings and Potentials (ICLR 2025 · similarity 0.87)
- Mind Individual Information! Principal Graph Learning for Multimedia Recommendation (AAAI 2025 · similarity 0.87)
- Semantic Enhanced Heterogeneous Hypergraph Network for Collaborative Filtering (AAAI 2025 · similarity 0.87)
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