Knowledge-enhanced data-driven models for quantifying the effectiveness of PP fibers in spalling prevention of ultra-high performance concrete
Sign Up to like & getrecommendations! Published in 2021 at "Construction and Building Materials"
DOI: 10.1016/j.conbuildmat.2021.123946
Abstract: Abstract Ultra-high performance concrete (UHPC) shows volumetric instability at high temperatures because of explosive spalling. Polypropylene (PP) fibers are effective in mitigating the explosive spalling of UHPC; however, the threshold PP fiber dosage to prevent… read more here.
Keywords: ultra high; explosive spalling; knowledge enhanced; performance concrete ... See more keywords
KeMRE: Knowledge-enhanced medical relation extraction for Chinese medicine instructions
Sign Up to like & getrecommendations! Published in 2021 at "Journal of biomedical informatics"
DOI: 10.1016/j.jbi.2021.103834
Abstract: Medicine instructions usually contain rich medical relations, and extracting them is very helpful for many downstream tasks such as medicine knowledge graph construction and medicine side-effect prediction. Existing relation extraction (RE) methods usually predict relations… read more here.
Keywords: medicine; knowledge; medicine instructions; chinese medicine ... See more keywords
KEMIM: Knowledge-enhanced User Multi-interest Modeling for Recommender Systems
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3264550
Abstract: Researchers typically leverage side information, such as social networks or the knowledge graph, to overcome the sparsity and cold start problem in collaborative filtering. To tackle the limitations of existing user interest modeling, we propose… read more here.
Keywords: enhanced user; interest modeling; knowledge graph; knowledge enhanced ... See more keywords
Knowledge Enhanced Graph Neural Networks for Explainable Recommendation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2022.3142260
Abstract: Recently, explainable recommendation has attracted increasing attentions, which can make the recommender system more transparent and improve user satisfactions by recommending products with useful explanations. However, existing methods trend to trade-off between the recommendation accuracy… read more here.
Keywords: neural networks; recommendation; explainable recommendation; knowledge enhanced ... See more keywords