3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.AI2025
Comprehensive Metapath-based Heterogeneous Graph Transformer for Gene-Disease Association Prediction
Wentao Cui, Shoubo Li, Chen Fang +4
Discovering gene-disease associations is crucial for understanding disease mechanisms, yet identifying these associations remains challenging due to the time and cost of biological…
q-bio.QM2025★ 3 cited
TSEML: A task-specific embedding-based method for few-shot classification of cancer molecular subtypes
Ran Su, Rui Shi, Hui Cui +4
Molecular subtyping of cancer is recognized as a critical and challenging upstream task for personalized therapy. Existing deep learning methods have achieved significant performan…
cs.LG2024
Towards Graph Prompt Learning: A Survey and Beyond
Qingqing Long, Yuchen Yan, Peiyan Zhang +12
Large-scale "pre-train and prompt learning" paradigms have demonstrated remarkable adaptability, enabling broad applications across diverse domains such as question answering, imag…