Topological signatures for fast mobility analysis. - Abhirup Ghosh; Benedek Rozemberczki; Subramanian Ramamoorthy; Rik Sarkar (SIGSPATIAL/GIS, 2018)

GEMSEC: graph embedding with self clustering. - Benedek Rozemberczki; Ryan Davies; Rik Sarkar; Charles Sutton (ASONAM, 2019)

Karate Club: An API Oriented Open-Source Python Framework for Unsupervised Learning on Graphs. - Benedek Rozemberczki; Oliver Kiss; Rik Sarkar (CIKM, 2020)

Little Ball of Fur: A Python Library for Graph Sampling. - Benedek Rozemberczki; Oliver Kiss; Rik Sarkar (CIKM, 2020)

Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models. - Benedek Rozemberczki; Rik Sarkar (CIKM, 2020)

Scaling Graph Neural Networks with Approximate PageRank. - Aleksandar Bojchevski; Johannes Klicpera; Bryan Perozzi; Amol Kapoor; Martin Blais; Benedek Rózemberczki; Michal Lukasik; Stephan Günnemann (KDD, 2020)

Fast Sequence-Based Embedding with Diffusion Graphs. - Benedek Rozemberczki; Rik Sarkar (CoRR, 2020)

An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs. - Benedek Rozemberczki; Oliver Kiss; Rik Sarkar (CoRR, 2020)

Stability Enhanced Privacy and Applications in Private Stochastic Gradient Descent. - Lauren Watson; Benedek Rozemberczki; Rik Sarkar (CoRR, 2020)

The Shapley Value of Classifiers in Ensemble Games. - Benedek Rozemberczki; Rik Sarkar (CIKM, 2021)

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models. - Benedek Rozemberczki; Paul Scherer; Yixuan He; George Panagopoulos; Alexander Riedel; Maria Sinziana Astefanoaei; Oliver Kiss; Ferenc Béres; Guzmán López; Nicolas Collignon; Rik Sarkar (CIKM, 2021)

Pathfinder Discovery Networks for Neural Message Passing. - Benedek Rozemberczki; Peter Englert; Amol Kapoor; Martin Blais; Bryan Perozzi (WWW, 2021)

Multi-Scale attributed node embedding. - Benedek Rozemberczki; Carl Allen; Rik Sarkar (J. Complex Networks, 2021)

Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings. - Benedek Rozemberczki; Rik Sarkar (CoRR, 2021)

Chickenpox Cases in Hungary: a Benchmark Dataset for Spatiotemporal Signal Processing with Graph Neural Networks. - Benedek Rozemberczki; Paul Scherer; Oliver Kiss; Rik Sarkar; Tamas Ferenci (CoRR, 2021)

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models. - Benedek Rozemberczki; Paul Scherer; Yixuan He; George Panagopoulos; Maria Sinziana Astefanoaei; Oliver Kiss; Ferenc Béres; Nicolas Collignon; Rik Sarkar (CoRR, 2021)

Explainable Biomedical Recommendations via Reinforcement Learning Reasoning on Knowledge Graphs. - Gavin Edwards; Sebastian Nilsson; Benedek Rozemberczki; Eliseo Papa (CoRR, 2021)

Persistence and Performance in Co-Enrollment Network Embeddings: An Empirical Validation of Tinto's Student Integration Model. - Ed Fincham; Benedek Rózemberczki; Vitomir Kovanovic; Srecko Joksimovic; Jelena Jovanovic 001; Dragan Gasevic (IEEE Trans. Learn. Technol., 2021)

MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy. - Benedek Rozemberczki; Anna Gogleva; Sebastian Nilsson; Gavin Edwards; Andriy Nikolov; Eliseo Papa (CIKM, 2022)

A Unified View of Relational Deep Learning for Drug Pair Scoring. - Benedek Rozemberczki; Stephen Bonner; Andriy Nikolov; Michaël Ughetto; Sebastian Nilsson; Eliseo Papa (IJCAI, 2022)

The Shapley Value in Machine Learning. - Benedek Rozemberczki; Lauren Watson; Péter Bayer; Hao-Tsung Yang; Oliver Kiss; Sebastian Nilsson; Rik Sarkar (IJCAI, 2022)

ChemicalX: A Deep Learning Library for Drug Pair Scoring. - Benedek Rozemberczki; Charles Tapley Hoyt; Anna Gogleva; Piotr Grabowski; Klas Karis; Andrej Lamov; Andriy Nikolov; Sebastian Nilsson; Michaël Ughetto; Yu Wang 160; Tyler Derr; Benjamin M. Gyori (KDD, 2022)

Continual and Sliding Window Release for Private Empirical Risk Minimization. - Lauren Watson; Abhirup Ghosh; Benedek Rozemberczki; Rik Sarkar (CoRR, 2022)

Synthetic Graph Generation to Benchmark Graph Learning. - Anton Tsitsulin; Benedek Rozemberczki; John Palowitch; Bryan Perozzi (CoRR, 2022)

TigerLily: Finding drug interactions in silico with the Graph. - Benedek Rozemberczki (CoRR, 2022)

OntoMerger: An Ontology Integration Library for Deduplicating and Connecting Knowledge Graph Nodes. - David Geleta; Andriy Nikolov; Mark ODonoghue; Benedek Rozemberczki; Anna Gogleva; Valentina Tamma; Terry R. Payne (CoRR, 2022)

PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs. - Yixuan He; Xitong Zhang; Junjie Huang; Benedek Rozemberczki; Mihai Cucuringu; Gesine Reinert (LoG, 2023)

The 3rd International Workshop on Machine Learning on Graphs (MLoG). - Tyler Derr; Yao Ma 001; Benedek Rozemberczki; Neil Shah; Shirui Pan (WSDM, 2023)

Pedal Me Bicycle Deliveries. - Benedek Rozemberczki; Paul Scherer; Yixuan He; George Panagopoulos; Maria Sinziana Astefanoaei; Oliver Kiss; Ferenc Béres; Nicolas Collignon; Rik Sarkar (UCI-MLR, 2023)