13 citations · 33 across the 4 of their papers we have counts for
5 papers
Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis
Sijie Mai, Ying Zeng, Shuangjia Zheng +1
The wide application of smart devices enables the availability of multimodal data, which can be utilized in many tasks. In the field of multimodal sentiment analysis (MSA), most pr…
Learning Attributed Graph Representations with Communicative Message Passing Transformer
Jianwen Chen, Shuangjia Zheng, Ying Song +2
Constructing appropriate representations of molecules lies at the core of numerous tasks such as material science, chemistry and drug designs. Recent researches abstract molecules…
Quantitative Evaluation of Explainable Graph Neural Networks for Molecular Property Prediction
Jiahua Rao, Shuangjia Zheng, Yuedong Yang
Advances in machine learning have led to graph neural network-based methods for drug discovery, yielding promising results in molecular design, chemical synthesis planning, and mol…
Communicative Message Passing for Inductive Relation Reasoning
Sijie Mai, Shuangjia Zheng, Yuedong Yang +1
Relation prediction for knowledge graphs aims at predicting missing relationships between entities. Despite the importance of inductive relation prediction, most previous works are…
RetroXpert: Decompose Retrosynthesis Prediction like a Chemist
Chaochao Yan, Qianggang Ding, Peilin Zhao +4
Retrosynthesis is the process of recursively decomposing target molecules into available building blocks. It plays an important role in solving problems in organic synthesis planni…