Percentage of models where a model built using a given embedding instance after compression outperformed the model without compression for the TwiBot-20 dataset.

Percentage of models where a model built using a given embedding instance after compression outperformed the model without compression for the TwiBot-20 dataset.

<p>Percentage of models where a model built using a given embedding instance after compression outperformed the model without compression for the TwiBot-20 dataset.</p>

Saved in:
Bibliographic Details
Main Author: Agata Skorupka (20469080) (author)
Published: 2024
Subjects:
Cancer
Science Policy
Space Science
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
twitter social network
significantly larger graphs
reduce information asymmetry
often means reducing
nodes &# 8217
extract feature sets
research examines whether
real people ).
detecting anomalous activities
perform significantly better
efficient method suitable
bitcoin alpha ).
better model performance
anomaly detection models
proposed algorithm based
based statistics algorithm
art graph embeddings
efficient algorithm
embeddings ).
threat detection
research proposes
predictive performance
new algorithm
generated ).
bitcoin otc
art results
efficient way
based datasets
based data
using embeddings
graph embeddings
xlink ">
text data
study proves
statistics result
solution turned
significant improvement
scale well
remain robust
performing predictor
one describing
newest technologies
methods based
graph networks
fraudulent users
fraudulent transaction
engineering overhead
enabling modeling
digital markets
detecting anomalies
computational efficiency
based methods
article proposes
also yield
adding even
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items