Research
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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

Trend · papers per month

count% of corpus
0111 · Oct 201919922001200920172026
3 results for “metapath2vec”
Representation Learning for Medical Datacs.LG

Proposes a new method for medical diagnosis using network-based representation learning.

problem Improving medical diagnosis accuracy through better data representation.
method Heterogeneous network-based model and modified metapath2vec algorithm for learning latent node representations.
result Significant performance boost in symptom/disease classification and disease prediction tasks.
medical diagnosisrepresentation learningheterogeneous networksmetapath2vecperformance improvement
2020-01-22abs ↗pdf ↗
Symbolic Graph Embedding using Frequent Pattern Miningcs.LG

Relational data mining is becoming ubiquitous in many fields of study. It offers insights into behaviour of complex, real-world systems which cannot be modeled directly using propositional learning. We propose Symbolic Graph Embedding (SGE), an algorithm aimed to learn symbolic node representations. Built on the ideas …

2019-10-29abs ↗pdf ↗
TrialGraph: Machine Intelligence Enabled Insight from Graph Modelling of Clinical Trialsstat.ML

TrialGraph uses graph machine learning to improve clinical trial design and predict side effects.

problem Complexity and cost in clinical trials hinder drug development.
method Curated clinical trial data set converted to graph-structured formats, applied graph machine learning algorithms.
result MetaPath2Vec algorithm performed exceptionally well, improving prediction accuracy.
clinical trialsgraph machine learningdrug developmentside effectsmachine learning
2021-12-15abs ↗pdf ↗