Deep Active Alignment of Knowledge Graph Entities and Schemata
Summary: DAAKG learns embeddings for entities, relations, and classes to align entities and schemata across KG pairs semi-supervisedly. Active learning guides batch labeling with approximation methods, yielding strong accuracy and generalization on benchmarks. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jiacheng Huang
- 2. Zequn Sun
- 3. Qijin Chen
- 4. Xiaozhou Xu
- 5. Weijun Ren
- 6. Wei Hu
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,083 | GeoKGM: A Multimodal Large Language Model for Zero-Shot Knowledge Graph Completion in Geospatial Databases | 2026 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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