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alpine_public

conflictrisk-public

csne

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

debayes

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

dlp_exploration

Code for the paper "Exploring the Performance of Continuous-Time Dynamic Link Prediction Algorithms"

dlp_viz

Repo accompanying the paper "New Perspectives on the Evaluation of Link Prediction Algorithms for Dynamic Graphs"

dnb-autodj

dnb-music-library-browsing

A few demos of MIR tools to navigate through a collection of drum'n'bass music

e-recruitment-recsys-challenges

Supplementary material of the paper "A challenge-based survey of e-recruitment recommendation systems"

evalne-robustness

Code for robustness evaluation using EvalNE (will be integrated in the main framework at a later stage)

exclus

explaine

fairret

A fairness library in PyTorch.

feir

fipr

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

generative-ai-course

global_essd_public

grab

Source code for GraB: Quantifying and Reducing Imbalance in Networks

graph-vis-eval

Evaluating Representation Learning and Graph Layout Methods for Visualization (IEEE GC&A 2022)

graphtda

Topological Data Analysis of graphs

grease

Source code for GREASE: Graph imbalance REduction by Adding Sets of Edges (GREASE)

maxentcomb

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

nrl4lp

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

nrlbenchmark

occupation_coding_datasets

otf

Optimal Transport of Classifiers to Fairness (NeurIPS 2022).

phd_code_robin_vandaele

Code for the PhD dissertation of Robin Vandaele organized per chapter

recon

This repository contains the source code, installation and use instructions for the method presented in the paper: Reducing congestion in job recommendation with optimal transport. We provide Python implementations of the complete ReCon model.

revised-conditional-t-sne

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

sigmoidal-nmfd

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