High-Productivity and High-Performance Analysis of Filtered Semantic Graphs. - Aydin Buluç; Erika Duriakova; Armando Fox; John R. Gilbert; Shoaib Kamil 001; Adam Lugowski; Leonid Oliker; Samuel Williams 001 (IPDPS, 2013)

Analysis of the semi-synchronous approach to large-scale parallel community finding. - Erika Duriakova; Neil Hurley; Deepak Ajwani; Alessandra Sala (COSN, 2014)

Reformulations of the Map Equation for Community Finding and Blockmodelling. - Neil J. Hurley; Erika Duriakova (ASONAM, 2015)

Parallel processing of filtered queries in attributed semantic graphs. - Adam Lugowski; Shoaib Kamil 001; Aydin Buluç; Samuel Williams 001; Erika Duriakova; Leonid Oliker; Armando Fox; John R. Gilbert (J. Parallel Distributed Comput., 2015)

An information theoretic approach to generalised blockmodelling for the identification of meso-scale structure in networks. - Neil J. Hurley; Erika Duriakova (ASONAM, 2016)

An Empirical Comparison of k-Shortest Simple Path Algorithms on Multicores. - Deepak Ajwani; Erika Duriakova; Neil Hurley; Ulrich Meyer 001; Alexander Schickedanz (ICPP, 2018)

Engineering a Parallel Δ-stepping Algorithm. - Erika Duriakova; Deepak Ajwani; Neil Hurley (IEEE BigData, 2019)

PDMFRec: a decentralised matrix factorisation with tunable user-centric privacy. - Erika Duriakova; Elias Z. Tragos; Barry Smyth; Neil Hurley; Francisco J. Peña; Panagiotis Symeonidis; James Geraci; Aonghus Lawlor (RecSys, 2019)

An Algorithmic Framework for Decentralised Matrix Factorisation. - Erika Duriakova; Weipéng Huáng; Elias Z. Tragos; Aonghus Lawlor; Barry Smyth; James Geraci; Neil Hurley (ECML/PKDD (2), 2020)

Combining Rating and Review Data by Initializing Latent Factor Models with Topic Models for Top-N Recommendation. - Francisco J. Peña; Diarmuid O'Reilly-Morgan; Elias Z. Tragos; Neil Hurley; Erika Duriakova; Barry Smyth; Aonghus Lawlor (RecSys, 2020)

Boosting the Training Time of Weakly Coordinated Distributed Machine Learning. - Erika Duriakova; Elias Z. Tragos; Aonghus Lawlor; Barry Smyth; Neil Hurley (IEEE BigData, 2021)

Entity Matching with Large Language Models as Weak and Strong Labellers. - Diarmuid O'Reilly-Morgan; Elias Z. Tragos; Erika Duriakova; Honghui Du; Neil Hurley; Aonghus Lawlor (ADBIS (Short Papers), 2024)

ALS Algorithm for Robust and Communication-Efficient Federated Learning. - Neil Hurley; Erika Duriakova; James Geraci; Diarmuid O'Reilly-Morgan; Elias Z. Tragos; Barry Smyth; Aonghus Lawlor (EuroMLSys@EuroSys, 2024)

NodeRec+: A Lightweight Framework for Federated Recommender Systems. - Diarmuid O'Reilly-Morgan; Erika Duriakova; Elias Z. Tragos; Neil Hurley; Aonghus Lawlor (SIGIR, 2025)