9 citations · 9 across the 6 of their papers we have counts for
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cs.AI2026
Soft Ontology Priors over Latent Concept Posteriors for Weakly Supervised Neuro-Symbolic Learning
Tengwei Song, Robert Hoehndorf
Neuro-symbolic (NeSy) predictors that supervise only the task label suffer from reasoning shortcuts: distinct concept mappings achieve the same maximum likelihood, leaving the reco…
cs.AI2026
Improving Enzyme Prediction with Chemical Reaction Equations by Hypergraph-Enhanced Knowledge Graph Embeddings
Tengwei Song, Long Yin, Zhen Han +1
Predicting enzyme-substrate interactions has long been a fundamental problem in biochemistry and metabolic engineering. While existing methods could leverage databases of expert-cu…
cs.AI2021★ 9 cited
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding
Tengwei Song, Jie Luo, Lei Huang
Knowledge graph embedding models learn the representations of entities and relations in the knowledge graphs for predicting missing links (relations) between entities. Their effect…