On the Impact of Communities on Semi-supervised Classification Using Graph Neural Networks. - Hussain Hussain; Tomislav Duricic; Elisabeth Lex; Roman Kern; Denis Helic (COMPLEX NETWORKS (2), 2020)

Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering. - Tomislav Duricic; Hussain Hussain; Emanuel Lacic; Dominik Kowald; Denis Helic; Elisabeth Lex (ISMIS, 2020)

Structack: Structure-based Adversarial Attacks on Graph Neural Networks. - Hussain Hussain; Tomislav Duricic; Elisabeth Lex; Denis Helic; Markus Strohmaier; Roman Kern (HT, 2021)

The interplay between communities and homophily in semi-supervised classification using graph neural networks. - Hussain Hussain; Tomislav Duricic; Elisabeth Lex; Denis Helic; Roman Kern (Appl. Netw. Sci., 2021)

Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks. - Hussain Hussain; Meng Cao; Sandipan Sikdar; Denis Helic; Elisabeth Lex; Markus Strohmaier; Roman Kern (ICDM, 2022)

Effective use of BERT in graph embeddings for sparse knowledge graph completion. - Xinglan Liu; Hussain Hussain; Houssam Razouk; Roman Kern (SAC, 2022)

Markov Aggregation for Speeding Up Agent-Based Movement Simulations. - Bernhard C. Geiger; Alireza Jahani; Hussain Hussain; Derek Groen (AAMAS, 2023)

Constraining Anomaly Detection with Anomaly-Free Regions. - Maximilian Toller; Hussain Hussain; Roman Kern; Bernhard C. Geiger (ICKG, 2024)

Recommendation Fairness in Social Networks Over Time. - Meng Cao; Hussain Hussain; Sandipan Sikdar; Denis Helic; Markus Strohmaier; Roman Kern (CoRR, 2024)

Activation Bottleneck: Sigmoidal Neural Networks Cannot Forecast a Straight Line. - Maximilian Toller; Hussain Hussain; Bernhard C. Geiger (CoRR, 2024)