Benedek Rozemberczki

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 36

Top Topics

Unsupervised Learning

Top Venues

Publications

Tyler Derr, Yao Ma, Benedek Rozemberczki, Neil Shah, Shirui Pan
The 3rd International Workshop on Machine Learning on Graphs (MLoG). WSDM (2023)
Yixuan He, Xitong Zhang, Junjie Huang, Benedek Rozemberczki, Mihai Cucuringu, Gesine Reinert
PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs. LoG (2023)
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
ChemicalX: A Deep Learning Library for Drug Pair Scoring. CoRR (2022)
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
ChemicalX: A Deep Learning Library for Drug Pair Scoring. KDD (2022)
Benedek Rozemberczki
TigerLily: Finding drug interactions in silico with the Graph. CoRR (2022)
Benedek Rozemberczki, Anna Gogleva, Sebastian Nilsson, Gavin Edwards, Andriy Nikolov, Eliseo Papa
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy. CIKM (2022)
Benedek Rozemberczki, Lauren Watson, Péter Bayer, Hao-Tsung Yang, Oliver Kiss, Sebastian Nilsson, Rik Sarkar
The Shapley Value in Machine Learning. IJCAI (2022)
Benedek Rozemberczki, Lauren Watson, Péter Bayer, Hao-Tsung Yang, Oliver Kiss, Sebastian Nilsson, Rik Sarkar
The Shapley Value in Machine Learning. CoRR (2022)
Benedek Rozemberczki, Stephen Bonner, Andriy Nikolov, Michaël Ughetto, Sebastian Nilsson, Eliseo Papa
A Unified View of Relational Deep Learning for Drug Pair Scoring. IJCAI (2022)
Anton Tsitsulin, Benedek Rozemberczki, John Palowitch, Bryan Perozzi
Synthetic Graph Generation to Benchmark Graph Learning. CoRR (2022)
David Geleta, Andriy Nikolov, Mark ODonoghue, Benedek Rozemberczki, Anna Gogleva, Valentina A. M. Tamma, Terry R. Payne
OntoMerger: An Ontology Integration Library for Deduplicating and Connecting Knowledge Graph Nodes. CoRR (2022)
Lauren Watson, Abhirup Ghosh, Benedek Rozemberczki, Rik Sarkar
Continual and Sliding Window Release for Private Empirical Risk Minimization. CoRR (2022)
Gavin Edwards, Sebastian Nilsson, Benedek Rozemberczki, Eliseo Papa
Explainable Biomedical Recommendations via Reinforcement Learning Reasoning on Knowledge Graphs. CoRR (2021)
Benedek Rozemberczki, Paul Scherer, Yixuan He, George Panagopoulos, Alexander Riedel, Maria Sinziana Astefanoaei, Oliver Kiss, Ferenc Béres, Guzmán López, Nicolas Collignon, Rik Sarkar
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models. CIKM (2021)
Benedek Rozemberczki, Paul Scherer, Oliver Kiss, Rik Sarkar, Tamas Ferenci
Chickenpox Cases in Hungary: a Benchmark Dataset for Spatiotemporal Signal Processing with Graph Neural Networks. CoRR (2021)
Benedek Rozemberczki, Rik Sarkar
Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings. CoRR (2021)
Benedek Rozemberczki, Peter Englert, Amol Kapoor, Martin Blais, Bryan Perozzi
Pathfinder Discovery Networks for Neural Message Passing. WWW (2021)
Benedek Rozemberczki, Carl Allen, Rik Sarkar
Multi-Scale attributed node embedding. J. Complex Networks 9 (2) (2021)
Benedek Rozemberczki, Rik Sarkar
The Shapley Value of Classifiers in Ensemble Games. CoRR (2021)
Benedek Rozemberczki, Paul Scherer, Yixuan He, George Panagopoulos, Maria Sinziana Astefanoaei, Oliver Kiss, Ferenc Béres, Nicolas Collignon, Rik Sarkar
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models. CoRR (2021)
Benedek Rozemberczki, Rik Sarkar
The Shapley Value of Classifiers in Ensemble Games. CIKM (2021)
Benedek Rozemberczki, Stephen Bonner, Andriy Nikolov, Michaël Ughetto, Sebastian Nilsson, Eliseo Papa
A Unified View of Relational Deep Learning for Drug Pair Scoring. CoRR (2021)
Benedek Rozemberczki, Anna Gogleva, Sebastian Nilsson, Gavin Edwards, Andriy Nikolov, Eliseo Papa
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy. CoRR (2021)
Benedek Rozemberczki, Oliver Kiss, Rik Sarkar
Little Ball of Fur: A Python Library for Graph Sampling. CoRR (2020)
Benedek Rozemberczki, Peter Englert, Amol Kapoor, Martin Blais, Bryan Perozzi
Pathfinder Discovery Networks for Neural Message Passing. CoRR (2020)
Lauren Watson, Benedek Rozemberczki, Rik Sarkar
Stability Enhanced Privacy and Applications in Private Stochastic Gradient Descent. CoRR (2020)
Benedek Rozemberczki, Rik Sarkar
Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models. CIKM (2020)
Benedek Rozemberczki, Rik Sarkar
Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models. CoRR (2020)
Benedek Rozemberczki, Oliver Kiss, Rik Sarkar
Little Ball of Fur: A Python Library for Graph Sampling. CIKM (2020)
Benedek Rozemberczki, Rik Sarkar
Fast Sequence-Based Embedding with Diffusion Graphs. CoRR (2020)
Benedek Rozemberczki, Oliver Kiss, Rik Sarkar
Karate Club: An API Oriented Open-Source Python Framework for Unsupervised Learning on Graphs. CIKM (2020)
Benedek Rozemberczki, Oliver Kiss, Rik Sarkar
An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs. CoRR (2020)
Benedek Rozemberczki, Ryan Davies, Rik Sarkar, Charles Sutton
GEMSEC: graph embedding with self clustering. ASONAM (2019)
Benedek Rozemberczki, Carl Allen, Rik Sarkar
Multi-scale Attributed Node Embedding. CoRR (2019)
Abhirup Ghosh, Benedek Rozemberczki, Subramanian Ramamoorthy, Rik Sarkar
Topological signatures for fast mobility analysis. SIGSPATIAL/GIS (2018)
Benedek Rozemberczki, Ryan Davies, Rik Sarkar, Charles Sutton
GEMSEC: Graph Embedding with Self Clustering. CoRR (2018)