2 papers
cs.LG2024
MultiModal-Learning for Predicting Molecular Properties: A Framework Based on Image and Graph Structures
Zhuoyuan Wang, Jiacong Mi, Shan Lu +1
The quest for accurate prediction of drug molecule properties poses a fundamental challenge in the realm of Artificial Intelligence Drug Discovery (AIDD). An effective representati…
cs.LG2024
AGHINT: Attribute-Guided Representation Learning on Heterogeneous Information Networks with Transformer
Jinhui Yuan, Shan Lu, Peibo Duan +1
Recently, heterogeneous graph neural networks (HGNNs) have achieved impressive success in representation learning by capturing long-range dependencies and heterogeneity at the node…