CLUS: Parallel Subspace Clustering Algorithm on Spark. - Bo Zhu 008; Alexandru Mara; Alberto Mozo (ADBIS (Short Papers and Workshops), 2015)

Scalable Semi-Supervised Learning over Networks using Nonsmooth Convex Optimization. - Alexander Jung; Alfred O. Hero III; Alexandru Mara; Sabeur Aridhi (CoRR, 2016)

Recovery conditions and sampling strategies for network Lasso. - Alexandru Mara; Alexander Jung (ACSSC, 2017)

When Is Network Lasso Accurate? - Alexander Jung; Nguyen Tran Quang; Alexandru Mara (Frontiers Appl. Math. Stat., 2017)

EvalNE: A Framework for Evaluating Network Embeddings on Link Prediction. - Alexandru Mara; Jefrey Lijffijt; Tijl De Bie (EDML@SDM, 2019)

Semi-Supervised Learning in Network-Structured Data via Total Variation Minimization. - Alexander Jung; Alfred O. Hero III; Alexandru Mara; Saeed Jahromi; Ayelet Heimowitz; Yonina C. Eldar (IEEE Trans. Signal Process., 2019)

CSNE: Conditional Signed Network Embedding. - Alexandru Mara; Yoosof Mashayekhi; Jefrey Lijffijt; Tijl De Bie (CIKM, 2020)

Block-Approximated Exponential Random Graphs. - Florian Adriaens; Alexandru Mara; Jefrey Lijffijt; Tijl De Bie (DSAA, 2020)

Benchmarking Network Embedding Models for Link Prediction: Are We Making Progress? - Alexandru Cristian Mara; Jefrey Lijffijt; Tijl De Bie (DSAA, 2020)

Scalable Dyadic Independence Models with Local and Global Constraints. - Florian Adriaens; Alexandru Mara; Jefrey Lijffijt; Tijl De Bie (CoRR, 2020)

Network Representation Learning for Link Prediction: Are we improving upon simple heuristics? - Alexandru Mara; Jefrey Lijffijt; Tijl De Bie (CoRR, 2020)

A Systematic Evaluation of Node Embedding Robustness. - Alexandru Cristian Mara; Jefrey Lijffijt; Stephan Günnemann; Tijl De Bie (LoG, 2022)

EvalNE: A framework for network embedding evaluation. - Alexandru Mara; Jefrey Lijffijt; Tijl De Bie (SoftwareX, 2022)

An Empirical Evaluation of Network Representation Learning Methods. - Alexandru Cristian Mara; Jefrey Lijffijt; Tijl De Bie (Big Data, 2024)

Large Language Models Reflect the Ideology of their Creators. - Maarten Buyl; Alexander Rogiers; Sander Noels; Iris Dominguez-Catena; Edith Heiter; Raphaël Romero; Iman Johary; Alexandru Cristian Mara; Jefrey Lijffijt; Tijl De Bie (CoRR, 2024)

JobHop: A Large-Scale Dataset of Career Trajectories. - Iman Johary; Raphaël Romero; Alexandru Mara; Tijl De Bie (CoRR, 2025)