1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2026
h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network
Yanru Qu, Yijie Zhang, Wenjuan Tan +6
Accurate molecular representations are critical for drug discovery, and a central challenge lies in capturing the chemical environment of molecular fragments, as key interactions,…
cs.CL2024
GAProtoNet: A Multi-head Graph Attention-based Prototypical Network for Interpretable Text Classification
Ximing Wen, Wenjuan Tan, Rosina O. Weber
Pretrained transformer-based Language Models (LMs) are well-known for their ability to achieve significant improvement on text classification tasks with their powerful word embeddi…
cs.LG2024★ 1 cited
An Equivariant Pretrained Transformer for Unified 3D Molecular Representation Learning
Rui Jiao, Xiangzhe Kong, Li Zhang +5
Pretraining on a large number of unlabeled 3D molecules has showcased superiority in various scientific applications. However, prior efforts typically focus on pretraining models i…