Greedily Improving Our Own Centrality in A Network. - Pierluigi Crescenzi; Gianlorenzo D'Angelo; Lorenzo Severini; Yllka Velaj (SEA, 2015)

On the Maximum Betweenness Improvement Problem. - Gianlorenzo D'Angelo; Lorenzo Severini; Yllka Velaj (ICTCS, 2015)

Influence Maximization in the Independent Cascade Model. - Gianlorenzo D'Angelo; Lorenzo Severini; Yllka Velaj (ICTCS, 2016)

Greedily Improving Our Own Closeness Centrality in a Network. - Pierluigi Crescenzi; Gianlorenzo D'Angelo; Lorenzo Severini; Yllka Velaj (ACM Trans. Knowl. Discov. Data, 2016)

Selecting Nodes and Buying Links to Maximize the Information Diffusion in a Network. - Gianlorenzo D'Angelo; Lorenzo Severini; Yllka Velaj (MFCS, 2017)

Hedonic Games with Social Context. - Gianpiero Monaco; Luca Moscardelli; Yllka Velaj (ICTCS, 2018)

Improving the Betweenness Centrality of a Node by Adding Links. - Elisabetta Bergamini; Pierluigi Crescenzi; Gianlorenzo D'Angelo; Henning Meyerhenke; Lorenzo Severini; Yllka Velaj (ACM J. Exp. Algorithmics, 2018)

On the Performance of Stable Outcomes in Modified Fractional Hedonic Games with Egalitarian Social Welfare. - Gianpiero Monaco; Luca Moscardelli; Yllka Velaj (AAMAS, 2019)

Recommending Links to Maximize the Influence in Social Networks. - Federico Corò; Gianlorenzo D'Angelo; Yllka Velaj (IJCAI, 2019)

Approximate Pricing in Networks: How to Boost the Betweenness and Revenue of a Node. - Ruben Brokkelkamp; Sven C. Polak; Guido Schäfer; Yllka Velaj (ISAAC, 2019)

Recommending Links to Control Elections via Social Influence. - Federico Corò; Gianlorenzo D'Angelo; Yllka Velaj (Algorithms, 2019)

Recommending links through influence maximization. - Gianlorenzo D'Angelo; Lorenzo Severini; Yllka Velaj (Theor. Comput. Sci., 2019)

Stable outcomes in modified fractional hedonic games. - Gianpiero Monaco; Luca Moscardelli; Yllka Velaj (Auton. Agents Multi Agent Syst., 2020)

The Multi-budget Maximum Weighted Coverage Problem. - Francesco Cellinese; Gianlorenzo D'Angelo; Gianpiero Monaco; Yllka Velaj (CIAC, 2021)

Spectral Clustering of Attributed Multi-relational Graphs. - Ylli Sadikaj; Yllka Velaj; Sahar Behzadi; Claudia Plant (KDD, 2021)

Additively Separable Hedonic Games with Social Context. - Gianpiero Monaco; Luca Moscardelli; Yllka Velaj (Games, 2021)

Generalized budgeted submodular set function maximization. - Francesco Cellinese; Gianlorenzo D'Angelo; Gianpiero Monaco; Yllka Velaj (Inf. Comput., 2021)

Shortest Paths and Centrality in Uncertain Networks. - Arkaprava Saha; Ruben Brokkelkamp; Yllka Velaj; Arijit Khan 001; Francesco Bonchi (Proc. VLDB Endow., 2021)

Link Recommendation for Social Influence Maximization. - Federico Coro; Gianlorenzo D'Angelo; Yllka Velaj (ACM Trans. Knowl. Discov. Data, 2021)

Designing a Data Science Course for Non-Computer Science Students: Practical Considerations and Findings. - Yllka Velaj; Dominik Dolezal; Roland Ambros; Claudia Plant; Renate Motschnig (FIE, 2022)

Teaching Data Science to Non-Computer Science Students: A Learner-Centered Approach. - Yllka Velaj; Dominik Dolezal; Roland Ambros; Claudia Plant; Renate Motschnig (FIE, 2023)

Analyzing the Communication Clusters in Datacenters✱. - Klaus-Tycho Foerster; Thibault Marette; Stefan Neumann 003; Claudia Plant; Ylli Sadikaj; Stefan Schmid 001; Yllka Velaj (WWW, 2023)

Semi-Supervised Embedding of Attributed Multiplex Networks. - Ylli Sadikaj; Justus Rass; Yllka Velaj; Claudia Plant (WWW, 2023)

Estimate and Reduce Uncertainty in Uncertain Graphs. - Naheed Anjum Arafat; Ehsan Bonabi Mobaraki; Arijit Khan 001; Yllka Velaj; Francesco Bonchi (DSAA, 2024)

Fostering Agile IT Project Management and Interpersonal Skills Using AI-Enhanced Game-Based Learning. - Dominik Dolezal; Yllka Velaj; Lukas Spreitzer; Claudia Plant (FIE, 2024)

The Impact of Cluster Centroid and Text Review Embeddings on Recommendation Methods. - Peter Dolog; Ylli Sadikaj; Yllka Velaj; Andreas Stephan; Benjamin Roth 001; Claudia Plant (WWW (Companion Volume), 2024)