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References from HMVA-DDI: A Hierarchical Multi-View Attention Network for Drug-Drug Interaction and Severity Prediction. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1136/bmjopen-2022-068174
10.1136/bmjopen-2022-068174 · External reference
10.1093/nar/gkx1037
10.1093/nar/gkx1037 · External reference
Ddinter 2.0: an updated comprehensive, professional, and accessible database for drug–drug interactions
2024 · External reference
Ipf-ddi: a new matrix factorization-based method for drug-drug interaction prediction
2017 · External reference
Ndd: a network-based method for predicting drug-drug interactions
2012 · External reference
10.1186/s12918-018-0602-x
10.1186/s12918-018-0602-x · External reference
10.1073/pnas.1803294115
10.1073/pnas.1803294115 · External reference
10.1093/bib/bbab133
10.1093/bib/bbab133 · External reference
Dsn-ddi: a dual-view substructure-aware graph neural network for drug–drug interaction prediction
2022 · External reference
10.1093/bib/bbac597
10.1093/bib/bbac597 · External reference
10.1186/s12859-020-3475-0
10.1186/s12859-020-3475-0 · External reference
10.1093/bib/bbac363
10.1093/bib/bbac363 · External reference
Gcnmk: a graph convolutional network with multikernel for drug-drug interaction prediction
2022 · External reference
Graphsage-based drug-drug interaction prediction
2024 · External reference
Drgatan: Dual-relational graph attention network for drug-drug interaction prediction
2024 · External reference
Mhcaddi: A multi-head co-attention based model for drug-drug interaction prediction
2019 · External reference
How attentive are graph attention networks?
2021 · External reference
Gognn: A graph-of-graphs neural network for predicting protein-protein interactions
2020 · External reference
Dmfddi: a deep matrix factorization framework for drug-drug interaction prediction
10.1093/bib/bbad397 · 2023 · External reference
Knowledge-guided pre-training of graph transformer for few-shot molecular property prediction
2023 · External reference
Opportunities and challenges using artificial intelligence in adme/tox
10.1038/s41563-019-0332-5 · 2019 · External reference
Moltc: A language-based task-agnostic molecular representation for drug discovery
2024 · External reference
Unresolved reference
External reference
Ddi-ssl: A self-supervised learning framework for drug–drug interaction prediction
10.3390/app131910750 · 2023 · External reference
Deepgcl: A graph contrastive learning framework for drug-drug interaction prediction
10.1371/journal.pone.0304798 · 2024 · External reference
10.1093/jamia/ocw029
10.1093/jamia/ocw029 · External reference
Mrhgnn: a multi-relational heterogeneous graph neural network for drug-drug interaction
2023 · External reference
Caster: Predicting drug interactions with chemical substructure representation
10.1609/aaai.v34i01.5412 · 2020 · External reference
Unresolved reference
External reference
Pytorchlabflow: A local-first framework for reproducible deep learning experiments
2025 · External reference
10.1186/s12859-024-05732-7
10.1186/s12859-024-05732-7 · External reference
