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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)

Paper ID
6662
Venue
SIGMOD
Year
2023
Pagerank
4.427232e-05
Overall Rank
8,908 | 38.03%
DOI
10.1145/3589304

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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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