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Drug Side Effect Prediction with Deep Learning Molecular Embedding in a Graph-of-Graphs Domain

https://doi.org/10.3390/math10234550
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Trends in Prescription Drug Use Among Adults in the United States From 1999-2012
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GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders
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Cascade Graph Neural Networks for RGB-D Salient Object Detection
inferredcites →https://doi.org/10.1007/978-3-031-11154-9_11openalex-snapshot
BioGNN: How Graph Neural Networks Can Solve Biological Problems
inferredcites →https://doi.org/10.1007/s11280-021-00900-8openalex-snapshot
Powerful graph of graphs neural network for structured entity analysis
inferredcites →https://doi.org/10.1016/j.cels.2016.03.001openalex-snapshot
Metabolic Network Prediction of Drug Side Effects
inferredcites →https://doi.org/10.1016/j.compbiolchem.2017.03.008openalex-snapshot
DrugClust: A machine learning approach for drugs side effects prediction
inferredcites →https://doi.org/10.1016/j.neucom.2021.04.039openalex-snapshot
Molecular generative Graph Neural Networks for Drug Discovery
inferredcites →https://doi.org/10.1016/j.procs.2021.08.174openalex-snapshot
CaregiverMatcher: graph neural networks for connecting caregivers of rare disease patients
inferredcites →https://doi.org/10.1016/j.softx.2022.101061openalex-snapshot
GNNkeras: A Keras-based library for Graph Neural Networks and homogeneous and heterogeneous graph processing
inferredcites →https://doi.org/10.1021/acs.jcim.0c01208openalex-snapshot
Using Domain-Specific Fingerprints Generated Through Neural Networks to Enhance Ligand-Based Virtual Screening
inferredcites →https://doi.org/10.1021/acsmedchemlett.8b00437openalex-snapshot
Transforming Computational Drug Discovery with Machine Learning and AI
inferredcites →https://doi.org/10.1038/446975aopenalex-snapshot
When good drugs go bad
inferredcites →https://doi.org/10.1038/75556openalex-snapshot
Gene Ontology: tool for the unification of biology
inferredcites →https://doi.org/10.1038/nchem.1243openalex-snapshot
Quantifying the chemical beauty of drugs
inferredcites →https://doi.org/10.1038/s41467-022-30714-9openalex-snapshot
A federated graph neural network framework for privacy-preserving personalization
inferredcites →https://doi.org/10.1038/s41586-020-2188-xopenalex-snapshot
A reference map of the human binary protein interactome
inferredcites →https://doi.org/10.1093/bioinformatics/bts383openalex-snapshot
Relating drug–protein interaction network with drug side effects
inferredcites →https://doi.org/10.1093/bioinformatics/bty294openalex-snapshot
Modeling polypharmacy side effects with graph convolutional networks
inferredcites →https://doi.org/10.1093/bioinformatics/bty583openalex-snapshot
LigVoxel: inpainting binding pockets using 3D-convolutional neural networks
inferredcites →https://doi.org/10.1093/nar/gkaa971openalex-snapshot
PubChem in 2021: new data content and improved web interfaces
inferredcites →https://doi.org/10.1093/nar/gkv1075openalex-snapshot
The SIDER database of drugs and side effects
inferredcites →https://doi.org/10.1093/nar/gkv1277openalex-snapshot
STITCH 5: augmenting protein–chemical interaction networks with tissue and affinity data
inferredcites →https://doi.org/10.1093/nar/gkv350openalex-snapshot
The BioMart community portal: an innovative alternative to large, centralized data repositories
inferredcites →https://doi.org/10.1101/843029openalex-snapshot
DeepSide: A Deep Learning Framework for Drug Side Effect Prediction
inferredcites →https://doi.org/10.1109/bibm.2016.7822555openalex-snapshot
Drug side effect prediction through linear neighborhoods and multiple data source integration
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00178openalex-snapshot
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
inferredcites →https://doi.org/10.1109/iccv.2017.324openalex-snapshot
Focal Loss for Dense Object Detection
inferredcites →https://doi.org/10.1109/icra48506.2021.9561110openalex-snapshot
Joint Object Detection and Multi-Object Tracking with Graph Neural Networks
inferredcites →https://doi.org/10.1109/tcbb.2022.3175362openalex-snapshot
Modular Multi–Source Prediction of Drug Side–Effects With DruGNN
inferredcites →https://doi.org/10.1109/tnn.2008.2005141openalex-snapshot
Computational Capabilities of Graph Neural Networks
inferredcites →https://doi.org/10.1109/tnn.2008.2005605openalex-snapshot
The Graph Neural Network Model
inferredcites →https://doi.org/10.1109/tnnls.2020.2978386openalex-snapshot
A Comprehensive Survey on Graph Neural Networks
inferredcites →https://doi.org/10.1109/tnnls.2020.3044146openalex-snapshot
Hierarchical Representation Learning in Graph Neural Networks With Node Decimation Pooling
inferredcites →https://doi.org/10.1109/tpami.2021.3054304openalex-snapshot
On Inductive–Transductive Learning With Graph Neural Networks
inferredcites →https://doi.org/10.1142/s0219720019500264openalex-snapshot
Glycine-induced formation and druggability score prediction of protein surface pockets
inferredcites →https://doi.org/10.1145/3219819.3219980openalex-snapshot
Graph Classification using Structural Attention
inferredcites →https://doi.org/10.1145/3397271.3401142openalex-snapshot
Global Context Enhanced Graph Neural Networks for Session-based Recommendation
inferredcites →https://doi.org/10.1145/3511808.3557356openalex-snapshot
Imbalanced Graph Classification via Graph-of-Graph Neural Networks
inferredcites →https://doi.org/10.1159/000157624openalex-snapshot
Druggable Targets and Targeted Drugs: Enhancing the Development of New Therapeutics
inferredcites →https://doi.org/10.1186/1471-2105-12-169openalex-snapshot
Predicting drug side-effect profiles: a chemical fragment-based approach
inferredcites →https://doi.org/10.1186/gb-2009-10-9-238openalex-snapshot
Predicting drug side-effects by chemical systems biology
inferredcites →https://doi.org/10.1186/s12913-019-4651-7openalex-snapshot
Adverse drug reactions in primary care: a scoping review
inferredcites →https://doi.org/10.17863/cam.48429openalex-snapshot
Graph Attention Networks
inferredcites →https://doi.org/10.2174/09298673113209990001openalex-snapshot
Virtual Screening Strategies in Drug Discovery: A Critical Review
inferredcites →https://doi.org/10.24963/ijcai.2020/183openalex-snapshot
GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions
inferredcites →https://doi.org/10.3390/ijms22189983openalex-snapshot
Comprehensive Survey of Recent Drug Discovery Using Deep Learning
inferredcites →https://doi.org/10.48550/arxiv.1509.09292openalex-snapshot
Convolutional Networks on Graphs for Learning Molecular Fingerprints
inferredcites →https://doi.org/10.48550/arxiv.1706.02216openalex-snapshot
Inductive Representation Learning on Large Graphs
inferredcites →https://doi.org/10.48550/arxiv.1802.04364openalex-snapshot
Junction Tree Variational Autoencoder for Molecular Graph Generation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s13369-024-09342-6openalex-snapshot
A Graph-Based Transformer Neural Network for Multi-Label ADR Prediction
inferred← citeshttps://doi.org/10.1016/j.csbj.2025.08.031openalex-snapshot
Leveraging molecular graphs for natural product classification
inferred← citeshttps://doi.org/10.1016/j.isci.2026.114626openalex-snapshot
AI-driven routing and layered architectures for intelligent ICT in nanosensor networked systems
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.131066openalex-snapshot
MOLGMP: A Markov approach for molecular graph generation with GNNs
inferred← citeshttps://doi.org/10.1016/j.procs.2024.09.258openalex-snapshot
NeuraGED: A GNN estimation for Graph–Edit Distance
inferred← citeshttps://doi.org/10.1021/acs.jcim.5c00136openalex-snapshot
Multi-Knowledge Graph and Multi-View Entity Feature Learning for Predicting Drug-Related Side Effects
inferred← citeshttps://doi.org/10.1038/s41746-025-01886-7openalex-snapshot
A scoping review of artificial intelligence applications in clinical trial risk assessment
inferred← citeshttps://doi.org/10.1109/bibm58861.2023.10385478openalex-snapshot
A Knowledge Graph-based Clustering Approach for Drug Side Effects Prediction*
inferred← citeshttps://doi.org/10.1109/icbiti65527.2025.11500656openalex-snapshot
AI for Predicting Drug Side Effects
inferred← citeshttps://doi.org/10.1109/icodsa62899.2024.10652175openalex-snapshot
Fingerprint-Based Side Effect Prediction using Artificial Neural Network Optimized by Bat Algorithm: Case Study Metabolism and Nutrition Disorders
inferred← citeshttps://doi.org/10.1109/metroxraine58569.2023.10405789openalex-snapshot
Graph Neural Networks for Drug Discovery: An Integrated Decision Support Pipeline
inferred← citeshttps://doi.org/10.1109/nelex69209.2026.11590021openalex-snapshot
Integrated Multi-Omics Modeling for Drug Toxicity and Side-Effect Prediction
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