InBox: Recommendation with Knowledge Graph using Interest Box Embedding
Summary: InBox represents KGs as points/boxes and models user interests as boxes containing item points, enabling set-like interest sets and concept composition via box intersections. Outperforms HAKG/KGIN on recommendation benchmarks. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Zezhong Xu
- 2. Yincen Qu
- 3. Wen Zhang
- 4. Lei Liang
- 5. Huajun Chen
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 63 | Freebase: A Collaboratively Created Graph Database For Structuring Human Knowledge | 2008 | SIGMOD | 0.00039278196 |
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