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2024	FutureCite: Predicting Research Articles’ Impact Using Machine Learning and Text and Graph Mining Techniques Mathematical and Computational Applications Maha A. Thafar, Mashael M. Alsulami, Somayah Albaradei
2024	2024 IEEE International Conference on Big Data (BigData) Koussay Khelil, Ghada Besbes, Hajer Baazaoui-Zghal
2024	Knowledge Graphs in Pharmacovigilance: A Scoping Review Clinical Therapeutics Manfred Hauben, Mazin Rafi, Ibrahim Abdelaziz, Oktie Hassanzadeh
2023	BioBLP: a modular framework for learning on multimodal biomedical knowledge graphs Journal of Biomedical Semantics Daniel Daza, Dimitrios Alivanistos, Payal Mitra, Thom Pijnenburg, Michael Cochez, Paul Groth
2023	OncoRTT: Predicting novel oncology-related therapeutic targets using BERT embeddings and omics features Frontiers in Genetics Maha A. Thafar, Somayah Albaradei, Mahmut Uludag, Mona Alshahrani, Takashi Gojobori, Magbubah Essack, Xin Gao
2023	Toxicology knowledge graph for structural birth defects Communications Medicine John Erol Evangelista, Daniel J. B. Clarke, Zhuorui Xie, Giacomo B. Marino, Vivian Utti, Sherry L. Jenkins, Taha Mohseni Ahooyi, Cristian G. Bologa, Jeremy J. Yang, Jessica L. Binder, Praveen Kumar, Christophe G. Lambert, Jeffrey S. Grethe, Eric Wenger, Deanne Taylor, Tudor I. Oprea, Bernard de Bono, Avi Ma’ayan
2022	Prediction of Drug–Target Interaction Using Dual-Network Integrated Logistic Matrix Factorization and Knowledge Graph Embedding Molecules Jiaxin Li, Xixin Yang, Yuanlin Guan, Zhenkuan Pan
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