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The importance of graph databases and graph learning for clinical applications
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9781118445112.stat02559openalex-snapshot
Statistics and Computing
inferredcites →https://doi.org/10.1007/978-3-030-32248-9_89openalex-snapshot
Interpretable Multimodality Embedding of Cerebral Cortex Using Attention Graph Network for Identifying Bipolar Disorder
inferredcites →https://doi.org/10.1007/978-3-030-32254-0_54openalex-snapshot
Graph Neural Network for Interpreting Task-fMRI Biomarkers
inferredcites →https://doi.org/10.1007/978-3-030-35817-4_14openalex-snapshot
Weakly- and Semi-supervised Graph CNN for Identifying Basal Cell Carcinoma on Pathological Images
inferredcites →https://doi.org/10.1007/978-3-030-59728-3_55openalex-snapshot
Edge-Variational Graph Convolutional Networks for Uncertainty-Aware Disease Prediction
inferredcites →https://doi.org/10.1007/978-3-030-87196-3_59openalex-snapshot
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels Using Tissue Graphs
inferredcites →https://doi.org/10.1007/978-3-031-01588-5openalex-snapshot
Graph Representation Learning
inferredcites →https://doi.org/10.1007/978-3-540-30203-2_13openalex-snapshot
Fundamental Theory for Typed Attributed Graph Transformation
inferredcites →https://doi.org/10.1007/978-3-642-32395-9_8openalex-snapshot
Link Prediction Approaches for Disease Networks
inferredcites →https://doi.org/10.1007/s13721-012-0005-7openalex-snapshot
Link prediction and classification in social networks and its application in healthcare and systems biology
inferredcites →https://doi.org/10.1016/0098-3004(93)90090-ropenalex-snapshot
Principal components analysis (PCA)
inferredcites →https://doi.org/10.1016/b0-12-227240-4/00173-8openalex-snapshot
Structured Query Language
inferredcites →https://doi.org/10.1016/b978-0-32-385787-1.00025-7openalex-snapshot
Medical image analysis
inferredcites →https://doi.org/10.1016/b978-0-32-390796-5.00018-8openalex-snapshot
Structured, unstructured, and diverse databases
inferredcites →https://doi.org/10.1016/b978-012373568-3.50016-3openalex-snapshot
Relational Languages
inferredcites →https://doi.org/10.1016/j.aiopen.2021.01.001openalex-snapshot
Graph neural networks: A review of methods and applications
inferredcites →https://doi.org/10.1016/j.artmed.2021.102097openalex-snapshot
Simultaneous imputation and classification using Multigraph Geometric Matrix Completion (MGMC): Application to neurodegenerative disease classification
inferredcites →https://doi.org/10.1016/j.asoc.2020.106954openalex-snapshot
EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM
inferredcites →https://doi.org/10.1016/j.asoc.2020.107049openalex-snapshot
Skills2Job: A recommender system that encodes job offer embeddings on graph databases
inferredcites →https://doi.org/10.1016/j.bdr.2018.04.004openalex-snapshot
Big Data Systems Meet Machine Learning Challenges: Towards Big Data Science as a Service
inferredcites →https://doi.org/10.1016/j.compmedimag.2021.102027openalex-snapshot
A survey on graph-based deep learning for computational histopathology
inferredcites →https://doi.org/10.1016/j.ddtec.2020.11.009openalex-snapshot
A compact review of molecular property prediction with graph neural networks
inferredcites →https://doi.org/10.1016/j.ejim.2007.12.002openalex-snapshot
Prevalence of drug–drug interactions at hospital entry and during hospital stay of patients in internal medicine
inferredcites →https://doi.org/10.1016/j.jneumeth.2011.04.020openalex-snapshot
Social network theory applied to resting-state fMRI connectivity data in the identification of epilepsy networks with iterative feature selection
inferredcites →https://doi.org/10.1016/j.knosys.2018.03.022openalex-snapshot
Graph embedding techniques, applications, and performance: A survey
inferredcites →https://doi.org/10.1016/j.media.2018.06.001openalex-snapshot
Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease
inferredcites →https://doi.org/10.1016/j.media.2021.102233openalex-snapshot
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis
inferredcites →https://doi.org/10.1016/j.media.2021.102264openalex-snapshot
Hierarchical graph representations in digital pathology
inferredcites →https://doi.org/10.1016/j.neucom.2020.07.144openalex-snapshot
ResGNet-C: A graph convolutional neural network for detection of COVID-19
inferredcites →https://doi.org/10.1016/j.patter.2020.100155openalex-snapshot
KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response
inferredcites →https://doi.org/10.1016/j.physa.2010.11.027openalex-snapshot
Link prediction in complex networks: A survey
inferredcites →https://doi.org/10.1016/s0002-9149(03)00432-6openalex-snapshot
Mechanisms by which angiotensin-converting enzyme inhibitors prevent diabetes and cardiovascular disease
inferredcites →https://doi.org/10.1016/s0169-7552(98)00110-xopenalex-snapshot
The anatomy of a large-scale hypertextual Web search engine
inferredcites →https://doi.org/10.1021/acs.jcim.1c00777openalex-snapshot
Exploring Graph Traversal Algorithms in Graph-Based Molecular Generation
inferredcites →https://doi.org/10.1023/a:1009953814988openalex-snapshot
Automating the Construction of Internet Portals with Machine Learning
inferredcites →https://doi.org/10.1038/30918openalex-snapshot
Collective dynamics of ‘small-world’ networks
inferredcites →https://doi.org/10.1038/nrg.2017.38openalex-snapshot
Network propagation: a universal amplifier of genetic associations
inferredcites →https://doi.org/10.1038/s41586-021-03583-3openalex-snapshot
Swarm Learning for decentralized and confidential clinical machine learning
inferredcites →https://doi.org/10.1038/s41592-019-0509-5openalex-snapshot
Assessment of network module identification across complex diseases
inferredcites →https://doi.org/10.1038/s41598-017-05778-zopenalex-snapshot
Learning a Health Knowledge Graph from Electronic Medical Records
inferredcites →https://doi.org/10.1086/230190openalex-snapshot
Robust Action and the Rise of the Medici, 1400-1434
inferredcites →https://doi.org/10.1088/1741-2552/ab909dopenalex-snapshot
Learning graph in graph convolutional neural networks for robust seizure prediction
inferredcites →https://doi.org/10.1088/2632-2153/abcf91openalex-snapshot
Graph networks for molecular design
inferredcites →https://doi.org/10.1089/big.2020.0070openalex-snapshot
Graph Neural Network-Based Diagnosis Prediction
inferredcites →https://doi.org/10.1093/bib/bbab340openalex-snapshot
Graph representation learning in bioinformatics: trends, methods and applications
inferredcites →https://doi.org/10.1093/bioinformatics/btaa834openalex-snapshot
COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology
inferredcites →https://doi.org/10.1093/bioinformatics/bts688openalex-snapshot
A novel link prediction algorithm for reconstructing protein–protein interaction networks by topological similarity
inferredcites →https://doi.org/10.1093/bioinformatics/bty294openalex-snapshot
Modeling polypharmacy side effects with graph convolutional networks
inferredcites →https://doi.org/10.1093/bioinformatics/btz718openalex-snapshot
Graph embedding on biomedical networks: methods, applications and evaluations
inferredcites →https://doi.org/10.1093/nar/27.1.29openalex-snapshot
KEGG: Kyoto Encyclopedia of Genes and Genomes
inferredcites →https://doi.org/10.1093/nar/28.1.27openalex-snapshot
KEGG: Kyoto Encyclopedia of Genes and Genomes
inferredcites →https://doi.org/10.1101/2020.06.26.172171openalex-snapshot
Population Graph GNNs for Brain Age Prediction
inferredcites →https://doi.org/10.1109/access.2019.2927768openalex-snapshot
Phase-Locking Value Based Graph Convolutional Neural Networks for Emotion Recognition
inferredcites →https://doi.org/10.1109/access.2020.3030076openalex-snapshot
Knowledge Graph Completion: A Review
inferredcites →https://doi.org/10.1109/bibe50027.2020.00060openalex-snapshot
Visualization for Histopathology Images using Graph Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/bibm.2018.8621147openalex-snapshot
EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks and Broad Learning System
inferredcites →https://doi.org/10.1109/bibm52615.2021.9669572openalex-snapshot
Identification of Depression with a Semi-supervised GCN based on EEG Data
inferredcites →https://doi.org/10.1109/bigdata50022.2020.9377795openalex-snapshot
Heterogeneous Similarity Graph Neural Network on Electronic Health Records
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00489openalex-snapshot
Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution
inferredcites →https://doi.org/10.1109/cvprw50498.2020.00502openalex-snapshot
Representation Learning of Histopathology Images using Graph Neural Networks
inferredcites →https://doi.org/10.1109/dac18072.2020.9218751openalex-snapshot
Hardware Acceleration of Graph Neural Networks
inferredcites →https://doi.org/10.1109/dbkda.2010.19openalex-snapshot
Towards Social Network Extraction Using a Graph Database
inferredcites →https://doi.org/10.1109/icassp.2018.8462207openalex-snapshot
Eeg-Based Video Identification Using Graph Signal Modeling and Graph Convolutional Neural Network
inferredcites →https://doi.org/10.1109/icdew.2014.6818295openalex-snapshot
Graph databases for large-scale healthcare systems: A framework for efficient data management and data services
inferredcites →https://doi.org/10.1109/icdm.2005.132openalex-snapshot
Shortest-Path Kernels on Graphs
inferredcites →https://doi.org/10.1109/icpr48806.2021.9412535openalex-snapshot
Classification of Intestinal Gland Cell-Graphs Using Graph Neural Networks
inferredcites →https://doi.org/10.1109/isbi45749.2020.9098534openalex-snapshot
Weakly Supervised Prostate Tma Classification Via Graph Convolutional Networks
inferredcites →https://doi.org/10.1109/msp.2017.2693418openalex-snapshot
Geometric Deep Learning: Going beyond Euclidean data
inferredcites →https://doi.org/10.1109/spin48934.2020.9070326openalex-snapshot
Graph Signal Processing of EEG signals for Detection of Epilepsy
inferredcites →https://doi.org/10.1109/taffc.2018.2817622openalex-snapshot
EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/taffc.2020.2994159openalex-snapshot
EEG-Based Emotion Recognition Using Regularized Graph Neural Networks
inferredcites →https://doi.org/10.1109/taffc.2021.3126263openalex-snapshot
EEG-Based Emotional Video Classification via Learning Connectivity Structure
inferredcites →https://doi.org/10.1109/tbdata.2018.2850013openalex-snapshot
Network Representation Learning: A Survey
inferredcites →https://doi.org/10.1109/tcds.2020.3001642openalex-snapshot
Functional Integration and Separation of Brain Network Based on Phase Locking Value During Emotion Processing
inferredcites →https://doi.org/10.1109/tkde.2018.2807452openalex-snapshot
A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications
inferredcites →https://doi.org/10.1109/tmi.2020.3021387openalex-snapshot
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis
inferredcites →https://doi.org/10.1109/tnnls.2023.3252569openalex-snapshot
SSGCNet: A Sparse Spectra Graph Convolutional Network for Epileptic EEG Signal Classification
inferredcites →https://doi.org/10.1109/tpami.2020.3028391openalex-snapshot
Learnable Pooling in Graph Convolutional Networks for Brain Surface Analysis
inferredcites →https://doi.org/10.1109/wisa.2017.34openalex-snapshot
Design and Implementation of Movie Recommender System Based on Graph Database
inferredcites →https://doi.org/10.1111/cts.13302openalex-snapshot
Biolink Model: A universal schema for knowledge graphs in clinical, biomedical, and translational science
inferredcites →https://doi.org/10.1126/science.290.5500.2323openalex-snapshot
Nonlinear Dimensionality Reduction by Locally Linear Embedding
inferredcites →https://doi.org/10.1142/9789811232701_0027openalex-snapshot
Topological Feature Extraction and Visualization of Whole Slide Images using Graph Neural Networks
inferredcites →https://doi.org/10.1145/1322432.1322433openalex-snapshot
Survey of graph database models
inferredcites →https://doi.org/10.1145/1721654.1721659openalex-snapshot
SQL databases v. NoSQL databases
inferredcites →https://doi.org/10.1145/2457317.2457351openalex-snapshot
Performance of graph query languages
inferredcites →https://doi.org/10.1145/2488388.2488393openalex-snapshot
Distributed large-scale natural graph factorization
inferredcites →https://doi.org/10.1145/2939672.2939751openalex-snapshot
Asymmetric Transitivity Preserving Graph Embedding
inferredcites →https://doi.org/10.1145/2939672.2939753openalex-snapshot
Structural Deep Network Embedding
inferredcites →https://doi.org/10.1145/3035918.3054775openalex-snapshot
Data Management in Machine Learning
inferredcites →https://doi.org/10.1145/3104031openalex-snapshot
Foundations of Modern Query Languages for Graph Databases
inferredcites →https://doi.org/10.1145/319702.319729openalex-snapshot
View indexing in relational databases
inferredcites →https://doi.org/10.1145/3308558.3313562openalex-snapshot
Heterogeneous Graph Attention Network
inferredcites →https://doi.org/10.1155/2017/2858423openalex-snapshot
Semantic Health Knowledge Graph: Semantic Integration of Heterogeneous Medical Knowledge and Services
inferredcites →https://doi.org/10.1177/1420326x221097338openalex-snapshot
Internet of things and machine learning applied to the thermal comfort of internal environments
inferredcites →https://doi.org/10.1186/s12859-017-1460-zopenalex-snapshot
Link prediction in drug-target interactions network using similarity indices
inferredcites →https://doi.org/10.1186/s13321-020-00479-8openalex-snapshot
Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models
inferredcites →https://doi.org/10.1371/journal.pcbi.1000100openalex-snapshot
Network Analysis of Intrinsic Functional Brain Connectivity in Alzheimer's Disease
inferredcites →https://doi.org/10.1371/journal.pone.0219796openalex-snapshot
Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures
inferredcites →https://doi.org/10.14569/ijacsa.2018.091104openalex-snapshot
Anomaly Detection with Machine Learning and Graph Databases in Fraud Management
inferredcites →https://doi.org/10.1609/aaai.v28i1.8870openalex-snapshot
Knowledge Graph Embedding by Translating on Hyperplanes
inferredcites →https://doi.org/10.1609/aaai.v29i1.9491openalex-snapshot
Learning Entity and Relation Embeddings for Knowledge Graph Completion
inferredcites →https://doi.org/10.1609/aaai.v30i1.10179openalex-snapshot
Deep Neural Networks for Learning Graph Representations
inferredcites →https://doi.org/10.1609/aaai.v32i1.11872openalex-snapshot
GraphGAN: Graph Representation Learning With Generative Adversarial Nets
inferredcites →https://doi.org/10.1609/aaai.v33i01.33011069openalex-snapshot
AffinityNet: Semi-Supervised Few-Shot Learning for Disease Type Prediction
inferredcites →https://doi.org/10.1609/aaai.v34i01.5400openalex-snapshot
Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer
inferredcites →https://doi.org/10.18653/v1/2020.knlp-1.1openalex-snapshot
COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature
inferredcites →https://doi.org/10.21203/rs.3.rs-1803318/v1openalex-snapshot
GNN-DDI: A New Data Integration Framework for Predicting Drug-Drug Interaction Events Based on Graph Neural Networks
inferredcites →https://doi.org/10.21936/si2012_v33.n2a.147openalex-snapshot
Using Neo4j graph database in social network analysis
inferredcites →https://doi.org/10.24963/ijcai.2018/483openalex-snapshot
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders
inferredcites →https://doi.org/10.24963/ijcai.2018/490openalex-snapshot
Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification
inferredcites →https://doi.org/10.24963/ijcai.2019/268openalex-snapshot
TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics
inferredcites →https://doi.org/10.24963/ijcai.2019/825openalex-snapshot
Pre-training of Graph Augmented Transformers for Medication Recommendation
inferredcites →https://doi.org/10.24963/ijcai.2020/184openalex-snapshot
GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification
inferredcites →https://doi.org/10.24963/ijcai.2020/380openalex-snapshot
KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction
inferredcites →https://doi.org/10.25080/majora-7ddc1dd1-006openalex-snapshot
Developing a Graph Convolution-Based Analysis Pipeline for Multi-Modal Neuroimage Data: An Application to Parkinson's Disease
inferredcites →https://doi.org/10.25675/3.021826openalex-snapshot
Protein interface prediction using graph convolutional networks
inferredcites →https://doi.org/10.3233/sw-170275openalex-snapshot
Linked data quality of DBpedia, Freebase, OpenCyc, Wikidata, and YAGO
inferredcites →https://doi.org/10.3390/biology11010033openalex-snapshot
CGENet: A Deep Graph Model for COVID-19 Detection Based on Chest CT
inferredcites →https://doi.org/10.3390/info13040205openalex-snapshot
Medical Knowledge Graph Completion Based on Word Embeddings
inferredcites →https://doi.org/10.3390/s21144758openalex-snapshot
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future
inferredcites →https://doi.org/10.4230/lipics.sea.2024.20openalex-snapshot
Targeted Branching for the Maximum Independent Set Problem Using Graph Neural Networks
inferredcites →https://doi.org/10.4230/oasics.tannen.5openalex-snapshot
Chasing Parallelism in Aggregating Graph Queries
inferredcites →https://doi.org/10.48550/arxiv.1312.6203openalex-snapshot
Spectral Networks and Locally Connected Networks on Graphs
inferredcites →https://doi.org/10.48550/arxiv.1606.06357openalex-snapshot
Complex Embeddings for Simple Link Prediction
inferredcites →https://doi.org/10.48550/arxiv.1709.03741openalex-snapshot
Learning Graph-Level Representation for Drug Discovery
inferredcites →https://doi.org/10.48550/arxiv.1811.01457openalex-snapshot
Fashionable Modelling with Flux
inferredcites →https://doi.org/10.48550/arxiv.1905.01375openalex-snapshot
Temporal Graph Convolutional Networks for Automatic Seizure Detection
inferredcites →https://doi.org/10.48550/arxiv.2010.16103openalex-snapshot
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning
inferredcites →https://doi.org/10.48550/arxiv.2012.01563openalex-snapshot
Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs
inferredcites →https://doi.org/10.48550/arxiv.2105.13495openalex-snapshot
Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention
inferredcites →https://doi.org/10.48550/arxiv.2203.14044openalex-snapshot
Contrastive Graph Learning for Population-based fMRI Classification
inferredcites →https://doi.org/10.5220/0006910203730380openalex-snapshot
Graph Databases Comparison: AllegroGraph, ArangoDB, InfiniteGraph, Neo4J, and OrientDB
inferredcites →https://doi.org/10.52202/085713openalex-snapshot
Advances in Neural Information Processing Systems 19
inferredcites →https://doi.org/10.5281/zenodo.1286817openalex-snapshot
Advances In Deep Learning On Graphs (Gsp'18 Workshop)
inferredcites →https://doi.org/10.5281/zenodo.20695702openalex-snapshot
RhizoDB: A Bounded Activation-Flow Architecture for Graph-Based Memory Systems
inferredcites →https://doi.org/10.63317/4b94v6njihisopenalex-snapshot
DBpedia: A Multilingual Cross-domain Knowledge Base
inferredcites →https://doi.org/10.7551/mitpress/1120.003.0080openalex-snapshot
Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering
inferredcites →https://doi.org/10.7551/mitpress/4472.003.0011openalex-snapshot
Optimizing Queries with Materialized Views
inferredcites →https://doi.org/10.9790/3021-03822527openalex-snapshot
Comparative analysis of Relational and Graph databases
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Evaluation of Subgraph Querying from Databases for Mini-Batch Training of Graph Neural Networks
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Epilepsy Detection from EEG Signals Using an SXTD-Weighted Visibility Graph and a Novel Transitive Amplification Index Features
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Development of an Intelligent Chinese Medicine Q&A System Based on Traditional Chinese Medicine Knowledge Graph and Large Language Models
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GraphAware: Interpretable machine learning on graphs
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A Neo4j-Based Framework for Integrating Clinical Data with Medical Ontologies: Performance Optimization and Quality Measure Applications in Healthcare
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From Black Box to Discovery Engine: A Geometric and Topological Framework for Interpreting Graph Neural Networks in Critical Care
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KG-Infused LLM for Virtual Health Assistant: Accelerated Inference and Enhanced Performance
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A Graph-Centric Neuro-Symbolic Architecture Applied to Personalized Sepsis Treatments
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Graph Artificial Intelligence in Medicine
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Metaproteomics in the One Health framework for unraveling microbial effectors in microbiomes
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Enhanced Health Study Discoverability: Graph-Based Analysis Approach
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BRAinS: a graph-based analysis and recommendation approach for enhanced health study discoverability (Preprint)
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Unlocking electronic health records: a hybrid graph RAG approach to safe clinical AI for patient QA
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Microbiome modeling: a beginner's guide
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A Novel Prediction Model for Multimodal Medical Data Based on Graph Neural Networks
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