The following publications are possibly variants of this publication:
- MSFF-MA-DDI: Multi-Source Feature Fusion with Multiple Attention blocks for predicting Drug-Drug Interaction eventsQi Jin, Jiang Xie 0003, Dingkai Huang, Chang Zhao, Hongjian He. CANDC, 108:108001, February 2024. [doi]
- A Multi-Source drug combination and Omnidirectional feature fusion approach for predicting Drug-Drug interaction eventsShiwei Gao, Jingjing Xie, Yizhao Zhao. jbi, 162:104772, 2025. [doi]
- Multi-view Feature Fusion Based on Self-attention Mechanism for Drug-drug Interaction PredictionHui Han, Weiyu Zhang, Xu Sun, Wenpeng Lu. ijcnn 2023: 1-8 [doi]
- An Adaptive Multi-view Feature Fusion Framework Based on Multiple Graphs for Predicting Drug-Drug InteractionsFei Wang, Zefan Cheng, Xiujuan Lei, Fang-Xiang Wu, Chun-Hou Zheng 0001, Yansen Su. icic 2025: 371-382 [doi]
- HF-DDI: Predicting Drug-Drug Interaction Events Based on Multimodal Hybrid Fusionan Huang, Xiaolan Xie, Xiaojun Yao, Huanxiang Liu, Xiaoqi Wang, Shaoliang Peng. jcb, 30(9):961-971, September 2023. [doi]
- MUFFIN: multi-scale feature fusion for drug-drug interaction predictionYujie Chen, Tengfei Ma 0002, Xixi Yang, Jianmin Wang, Bosheng Song, Xiangxiang Zeng. bioinformatics, 37(17):2651-2658, 2021. [doi]
- Multi-view feature representation and fusion for drug-drug interactions predictionJing Wang 0080, Shuo Zhang, Runzhi Li, Gang Chen, Siyu Yan, Lihong Ma 0004. bmcbi, 24(1):93, December 2023. [doi]
- MMDDI-SSE: A Novel Multi-Modal Feature Fusion Model With Static Subgraph Embedding for Drug-Drug Interaction Event PredictionGuishen Wang, Honghan Chen, Handan Wang, Hairong Gao, Xiaowen Hu, Chen Cao 0002. titb, 29(8):6081-6091, August 2025. [doi]
- MMDDI-MGPFF: Multi-Modal Drug Representation Learning with Molecular Graph and Pharmacological Feature Fusion for Drug-Drug Interaction Event PredictionGuishen Wang, Zhitong Guo, Guilin You, Ming Xu, Chen Cao, Xiaowen Hu. bibm 2024: 467-470 [doi]
- Multi-type feature fusion based on graph neural network for drug-drug interaction predictionChangxiang He, Yuru Liu, Hao Li, Hui Zhang, Yaping Mao, Xiaofei Qin, Lele Liu, Xuedian Zhang. bmcbi, 23(1):224, 2022. [doi]
- BIOFUSE-DDI: A Dual-Source Transformer Framework for Drug-Drug Interaction PredictionHengpeng Zhao, Shuoyu Cui, Xiaoli Lin, Ping Liang. icic 2025: 173-184 [doi]
- A Deep Learning Approach Based on Feature Reconstruction and Multi-dimensional Attention Mechanism for Drug-Drug Interaction PredictionJiang Xie 0003, Jiaming Ouyang, Chang Zhao, Hongjian He, Xin Dong. isbra 2021: 400-410 [doi]
- MSI-DTI: predicting drug-target interaction based on multi-source information and multi-head self-attentionWenchuan Zhao, Yufeng Yu, Guosheng Liu, Yanchun Liang 0001, Dong Xu 0002, Xiaoyue Feng, Renchu Guan. bib, 25(3), 2024. [doi]