On the public citation graph

A Method to Learn Embedding of a Probabilistic Medical Knowledge Graph: Algorithm Development

https://doi.org/10.2196/17645
0 signed · 35 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1007/978-0-387-79948-3_3055openalex-snapshot
International Statistical Classification of Diseases and Related Health Problems
inferredcites →https://doi.org/10.1007/s10916-019-1182-zopenalex-snapshot
KGDDS: A System for Drug-Drug Similarity Measure in Therapeutic Substitution based on Knowledge Graph Curation
inferredcites →https://doi.org/10.1016/j.artmed.2018.03.005openalex-snapshot
EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning
inferredcites →https://doi.org/10.1038/s41598-017-05778-zopenalex-snapshot
Learning a Health Knowledge Graph from Electronic Medical Records
inferredcites →https://doi.org/10.1145/2806416.2806502openalex-snapshot
Learning to Represent Knowledge Graphs with Gaussian Embedding
inferredcites →https://doi.org/10.1145/582415.582418openalex-snapshot
Cumulated gain-based evaluation of IR techniques
inferredcites →https://doi.org/10.18653/v1/p16-1219openalex-snapshot
TransG : A Generative Model for Knowledge Graph Embedding
inferredcites →https://doi.org/10.18653/v1/p19-1139openalex-snapshot
ERNIE: Enhanced Language Representation with Informative Entities
inferredcites →https://doi.org/10.24963/ijcai.2018/596openalex-snapshot
Translating Embeddings for Knowledge Graph Completion with Relation Attention Mechanism
inferredcites →https://doi.org/10.2991/ijcis.2008.1.2.6openalex-snapshot
Clinical Decision Support Systems: a Review of Knowledge Representation and Inference under Uncertainties
inferredcites →https://doi.org/10.2991/jnmp.2008.1.2.6openalex-snapshot
Clinical Decision Support Systems: a Review of Knowledge Representation and Inference under Uncertainties
inferredcites →https://doi.org/10.3115/v1/p15-1067openalex-snapshot
Knowledge Graph Embedding via Dynamic Mapping Matrix

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-030-77211-6_48openalex-snapshot
Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical Records
inferred← citeshttps://doi.org/10.1007/978-981-99-9864-7_25openalex-snapshot
Constructing a Multi-scale Medical Knowledge Graph from Electronic Medical Records
inferred← citeshttps://doi.org/10.1007/s10115-022-01764-8openalex-snapshot
KRL_Match: knowledge graph objects matching for knowledge representation learning
inferred← citeshttps://doi.org/10.1007/s10618-026-01217-8openalex-snapshot
Research on entity relationship semantic embedded rule mining model for medical graph reasoning
inferred← citeshttps://doi.org/10.1007/s11280-021-00902-6openalex-snapshot
Reinforced KGs reasoning for explainable sequential recommendation
inferred← citeshttps://doi.org/10.1007/s41060-025-00871-3openalex-snapshot
A detailed analysis into evaluation metrics for knowledge graph evaluation
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.111323openalex-snapshot
LMKG: A large-scale and multi-source medical knowledge graph for intelligent medicine applications
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.115909openalex-snapshot
Simplicial complex neural networks for deterministic and uncertain knowledge graph embedding
inferred← citeshttps://doi.org/10.1038/s41551-022-00942-xopenalex-snapshot
Graph representation learning in biomedicine and healthcare
inferred← citeshttps://doi.org/10.1038/s41598-022-25693-2openalex-snapshot
Heterogeneous graph construction and HinSAGE learning from electronic medical records
inferred← citeshttps://doi.org/10.1088/1742-6596/2188/1/012007openalex-snapshot
Recent Advances in Representation Learning for Electronic Health Records: A Systematic Review
inferred← citeshttps://doi.org/10.1093/gigascience/giad047openalex-snapshot
Hetnet connectivity search provides rapid insights into how biomedical entities are related
inferred← citeshttps://doi.org/10.1109/access.2023.3248618openalex-snapshot
Optimal Recommendation Models Based on Knowledge Representation Learning and Graph Attention Networks
inferred← citeshttps://doi.org/10.1109/access.2023.3324046openalex-snapshot
Companion Animal Disease Diagnostics Based on Literal-Aware Medical Knowledge Graph Representation Learning
inferred← citeshttps://doi.org/10.1109/aiiot61789.2024.10579029openalex-snapshot
Cascading Succession of Models for an Enhanced Long-Tail Discernment AI System
inferred← citeshttps://doi.org/10.1109/bibm58861.2023.10386068openalex-snapshot
A domain adaptive pre-training language model for sentence classification of Chinese electronic medical record
inferred← citeshttps://doi.org/10.1186/s12911-026-03675-yopenalex-snapshot
Graph representation and learning for drug administration prediction
inferred← citeshttps://doi.org/10.1186/s12913-025-13817-zopenalex-snapshot
Multimorbidity measurement strategies for predicting hospital visits
inferred← citeshttps://doi.org/10.2196/23898openalex-snapshot
Health Natural Language Processing: Methodology Development and Applications
inferred← citeshttps://doi.org/10.2196/55090openalex-snapshot
Research on Traditional Chinese Medicine: Domain Knowledge Graph Completion and Quality Evaluation
inferred← citeshttps://doi.org/10.2196/preprints.23898openalex-snapshot
Health Natural Language Processing: Methodology Development and Applications (Preprint)
inferred← citeshttps://doi.org/10.26599/bdma.2022.9020021openalex-snapshot
Medical Knowledge Graph: Data Sources, Construction, Reasoning, and Applications
inferred← citeshttps://doi.org/10.54254/2755-2721/4/2023361openalex-snapshot
A review on the construction and application of medical knowledge graph
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.