Benedek Rozemberczki

36 papers A* 4A 7B 1Journal 22Unranked 2

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