MSGNN: Masked Schema based Graph Neural Networks
Summary: Proposes MSGNN, representing HIN neighborhoods via schema instances (minimal complete node contexts) to fuse semantic meta-path advantages with adjacency structure while avoiding manual design. Uses mask-based bi-level self-supervision and a decomposition–reconstruction retrieval; outperforms SOTA (up to +16.08% F1). (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Hao Liu
- 2. Qianwen Yang
- 3. Taoyong Cui
- 4. Wei Wang
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 62 | Freebase: A Collaboratively Created Graph Database For Structuring Human Knowledge | 2008 | SIGMOD | 0.0006429466 |
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