Benedek Rozemberczki

According to our database, Benedek Rozemberczki authored at least 28 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

The 3rd International Workshop on Machine Learning on Graphs (MLoG).

Tyler Derr, Yao Ma, Benedek Rozemberczki, Neil Shah, Shirui Pan

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

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

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

2022

OntoMerger: An Ontology Integration Library for Deduplicating and Connecting Knowledge Graph Nodes.

David Geleta, Andriy Nikolov, Mark ODonoghue, Benedek Rozemberczki, Anna Gogleva, Valentina A. M. Tamma, Terry R. Payne

CoRR, 2022

TigerLily: Finding drug interactions in silico with the Graph.

Benedek Rozemberczki

CoRR, 2022

Synthetic Graph Generation to Benchmark Graph Learning.

Anton Tsitsulin, Benedek Rozemberczki, John Palowitch, Bryan Perozzi

CoRR, 2022

Continual and Sliding Window Release for Private Empirical Risk Minimization.

Lauren Watson, Abhirup Ghosh, Benedek Rozemberczki, Rik Sarkar

CoRR, 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, Tyler Derr, Benjamin M. Gyori

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

The Shapley Value in Machine Learning.

Benedek Rozemberczki, Lauren Watson, Péter Bayer, Hao-Tsung Yang, Oliver Kiss, Sebastian Nilsson, Rik Sarkar

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

A Unified View of Relational Deep Learning for Drug Pair Scoring.

Benedek Rozemberczki, Stephen Bonner, Andriy Nikolov, Michaël Ughetto, Sebastian Nilsson, Eliseo Papa

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy.

Benedek Rozemberczki, Anna Gogleva, Sebastian Nilsson, Gavin Edwards, Andriy Nikolov, Eliseo Papa

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

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, Dragan Gasevic

IEEE Trans. Learn. Technol., 2021

Explainable Biomedical Recommendations via Reinforcement Learning Reasoning on Knowledge Graphs.

Gavin Edwards, Sebastian Nilsson, Benedek Rozemberczki, Eliseo Papa

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

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

Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings.

Benedek Rozemberczki, Rik Sarkar

CoRR, 2021

Multi-Scale attributed node embedding.

Benedek Rozemberczki, Carl Allen, Rik Sarkar

J. Complex Networks, 2021

Pathfinder Discovery Networks for Neural Message Passing.

Benedek Rozemberczki, Peter Englert, Amol Kapoor, Martin Blais, Bryan Perozzi

Proceedings of the WWW '21: The Web Conference 2021, 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

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

The Shapley Value of Classifiers in Ensemble Games.

Benedek Rozemberczki, Rik Sarkar

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Stability Enhanced Privacy and Applications in Private Stochastic Gradient Descent.

Lauren Watson, 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

Fast Sequence-Based Embedding with Diffusion Graphs.

Benedek Rozemberczki, Rik Sarkar

CoRR, 2020

Scaling Graph Neural Networks with Approximate PageRank.

Aleksandar Bojchevski, Johannes Klicpera, Bryan Perozzi, Amol Kapoor, Martin Blais, Benedek Rózemberczki, Michal Lukasik, Stephan Günnemann

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models.

Benedek Rozemberczki, Rik Sarkar

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Little Ball of Fur: A Python Library for Graph Sampling.

Benedek Rozemberczki, Oliver Kiss, Rik Sarkar

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Karate Club: An API Oriented Open-Source Python Framework for Unsupervised Learning on Graphs.

Benedek Rozemberczki, Oliver Kiss, Rik Sarkar

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

GEMSEC: graph embedding with self clustering.

Benedek Rozemberczki, Ryan Davies, Rik Sarkar, Charles Sutton

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

Topological signatures for fast mobility analysis.

Abhirup Ghosh, Benedek Rozemberczki, Subramanian Ramamoorthy, Rik Sarkar

Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018