| The COVID-19 Ontology A Sargsyan, AT Kodamullil, S Baksi, J Darms, S Madan, S Gebel, ... Bioinformatics, 2020 | 38 | 2020 |
| A method for the rational selection of drug repurposing candidates from multimodal knowledge harmonization B Schultz, A Zaliani, C Ebeling, J Reinshagen, D Bojkova, ... Scientific reports 11 (1), 11049, 2021 | 16* | 2021 |
| MultiGML: Multimodal graph machine learning for prediction of adverse drug events S Krix, LN DeLong, S Madan, D Domingo-Fernández, A Ahmad, S Gul, ... Heliyon 9 (9), 2023 | 8 | 2023 |
| Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey LN DeLong, RF Mir, JD Fleuriot arXiv preprint arXiv:2302.07200, 2023 | 8* | 2023 |
| Machine learning based prediction of COVID-19 mortality suggests repositioning of anticancer drug for treating severe cases T Linden, F Hanses, D Domingo-Fernández, LN DeLong, AT Kodamullil, ... Artificial intelligence in the life sciences 1, 100020, 2021 | 5 | 2021 |
| A machine learning method for the identification and characterization of novel COVID-19 drug targets B Schultz, LN DeLong, A Masny, M Lentzen, T Raschka, D van Dijk, ... Scientific Reports 13 (1), 7159, 2023 | 3 | 2023 |
| Neurosymbolic AI for Reasoning on Biomedical Knowledge Graphs LN DeLong, RF Mir, Z Ji, FNC Smith, JD Fleuriot ICML 2023 Workshop on Knowledge and Logical Reasoning in the Era of Data …, 2023 | 1 | 2023 |
| Neurosymbolic AI Reveals Biases and Limitations in ML-Driven Drug Discovery L DeLong, Y Gadiya, JD Fleuriot, D Domingo-Fernández NeurIPS 2023 Workshop on New Frontiers of AI for Drug Discovery and Development, 2023 | | 2023 |
| Comparison and Evaluation of Network Representation Learning Methods for Adverse Drug Reaction Prediction in a Heterogeneous Graph LN Delong | | 2021 |
| Assessing the Effects of Inorganic Arsenic on IL‐1β and TNFɑ Secretion, Gene Expression, and DNA Methylation in Murine Macrophages to Gauge Immunotoxic Effects of Heavy Metals LN DeLong, JR Barbosa, J Nyland The FASEB Journal 32, 787.22-787.22, 2018 | | 2018 |
