27 citations · 29 across the 14 of their papers we have counts for
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cs.LG2024
SDN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion
Tengfei Ma, Yujie Chen, Liang Wang +3
Inductive Knowledge Graph Completion (KGC) aims to infer missing facts between newly emerged entities within knowledge graphs (KGs), posing a significant challenge. While recent st…
cs.AI2024★ 1 cited
Y-Mol: A Multiscale Biomedical Knowledge-Guided Large Language Model for Drug Development
Tengfei Ma, Xuan Lin, Tianle Li +8
Large Language Models (LLMs) have recently demonstrated remarkable performance in general tasks across various fields. However, their effectiveness within specific domains such as…
cs.AI2024★ 1 cited
KGExplainer: Towards Exploring Connected Subgraph Explanations for Knowledge Graph Completion
Tengfei Ma, Xiang song, Wen Tao +6
Knowledge graph completion (KGC) aims to alleviate the inherent incompleteness of knowledge graphs (KGs), which is a critical task for various applications, such as recommendations…