aida-ugent/PhD_Code_Robin_Vandaele

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aida-ugent/PhD_Code_Robin_Vandaele

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Code for the PhD dissertation of Robin Vandaele organized per chapter

SkillGPT

dnb-autodj

fairret

A fairness library in PyTorch.

generative-ai-course

Jupyter Notebook

DeBayes

DeBayes: a Bayesian Method for Debiasing Network Embeddings (ICML 2020).

TopoEmbedding

Topologically Regularized Data Embeddings

revised-conditional-t-SNE

Revised Conditional t-SNE: Looking Beyond the Nearest Neighbors (IDA 2023)

Jupyter Notebook

CSNE

Source code for CSNE: Conditional Signed Network Embeddings (CIKM2020)

TRACE

Interactive quality analysis for two-dimensional embeddings

TIMprocess

Topological image modification & processing

Jupyter Notebook

OTF

Optimal Transport of Classifiers to Fairness (NeurIPS 2022).

FIPR

The KL-Divergence between a Graph Model and its Fair I-Projection as a Fairness Regularizer (ECML-PKDD 2021).

GraB

Source code for GraB: Quantifying and Reducing Imbalance in Networks

MaxEntComb

Source code for the paper "Block-Approximated Exponential Random Graphs" (DSAA2020)

graphTDA

Topological Data Analysis of graphs

NRL4LP

Instructions for replicating the experiments in the paper "Benchmarking Network Embedding Models for Link Prediction: Are We Making Progress?" (DSAA2020)

FEIR

ExClus

ExplaiNE

sigmoidal-nmfd

Code for the paper "Sigmoidal NMFD: Convolutional NMF with Saturating Activations for Drum Mixture Decomposition"

Occupation_coding_datasets