A novel FKGC model, context-aware relational learning and multidimensional matching (CRL-MM), which considers the entity pair and its neighborhood as a unified contextual whole, aggregating neighborhood information through adaptive task relations and paired entity awareness to improve entity encoding.
These results demonstrate that collaborative modeling of instance-level and batch-level structural context can effectively enhance structure-aware entity representation and improve fine-grained entity prediction.
Entity matching (EM) aims to determine whether two tuples from heterogeneous data sources refer to the same real-world entity and serves as a fundamental task in data integration, knowledge graph construction, and intelligent information retrieval. However, existing EM methods still suffer from three major limitations:...
A knowledge graph completion model based on semantic constrained hybrid scoring (SCHS) is proposed, which integrates three synergistic mechanisms that essentially resolves the rigid trade-off between geometric alignment and flexible semantic matching.
Peng-Song Duan, Jia-Ke Zhao, Bo Zhang et al.· International journal of sof...· 0 citations
PEARL is proposed, a Path-Entity Aligned Relational Learning framework that models paths as context-conditioned reasoning signals and employs a dual-view contrastive objective that promotes representation consistency under stochastic contextual perturbations.
A novel unified retrieval-augmented framework, URA-NER, including three key components: Progressive Granularity Retrieval, Model-aware Representation Enhancement, and Reason-aware Knowledge Verification is proposed, including three key components: Progressive Granularity Retrieval, Model-aware Representation Enhancemen...
Results indicate that integrating multi-source domain knowledge with relation-preserved retrieval and attribute-supported filtering provides more focused and inspectable evidence, thereby supporting more accurate complex material question answering.
Peize Li, Xi Guo, Nan Yin et al.· Electronics· 0 citations
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