Katarzyna Musiał

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All published works

Action	Title	Year	Authors
+ PDF Chat	How the use of feature selection methods influences the efficiency and accuracy of complex network simulations	2024	Katarzyna Musiał Jiaqi Wen Andreas Gwyther-Gouriotis
+ PDF Chat	Deep Reinforcement Learning for Digital Twin-Oriented Complex Networked Systems	2024	Jiaqi Wen Bogdan Gabryś Katarzyna Musiał
+	Network disruption via continuous batch removal: The case of Sicilian Mafia	2024	Mingshan Jia Pasquale De Meo Bogdan Gabryś Katarzyna Musiał
+ PDF Chat	AutonoML: Towards an Integrated Framework for Autonomous Machine Learning	2024	David Jacob Kedziora Katarzyna Musiał Bogdan Gabryś
+ PDF Chat	AutonoML: Towards an Integrated Framework for Autonomous Machine Learning	2024	David Jacob Kedziora Katarzyna Musiał Bogdan Gabryś
+ PDF Chat	Automated Deep Learning: Neural Architecture Search Is Not the End	2024	Xuanyi Dong David Jacob Kedziora Katarzyna Musiał Bogdan Gabryś
+ PDF Chat	Automated Deep Learning: Neural Architecture Search Is Not the End	2024	Xuanyi Dong David Jacob Kedziora Katarzyna Musiał Bogdan Gabryś
+	Inferring actual treatment pathways from patient records	2023	Adrian Caruana Madhushi Bandara Katarzyna Musiał Daniel Catchpoole Paul Kennedy
+ PDF Chat	On taking advantage of opportunistic meta-knowledge to reduce configuration spaces for automated machine learning	2023	David Jacob Kedziora Tien-Dung Nguyen Katarzyna Musiał Bogdan Gabryś
+ PDF Chat	Machine learning for administrative health records: A systematic review of techniques and applications	2023	Adrian Caruana Madhushi Bandara Katarzyna Musiał Daniel Catchpoole Paul Kennedy
+	A Network Science perspective of Graph Convolutional Networks: A survey	2023	Mingshan Jia Bogdan Gabryś Katarzyna Musiał
+ PDF Chat	A Network Science perspective of Graph Convolutional Networks: A survey	2023	Mingshan Jia Bogdan Gabryś Katarzyna Musiał
+	Review and Assessment of Digital Twin--Oriented Social Network Simulators	2023	Jiaqi Wen Bogdan Gabryś Katarzyna Musiał
+ PDF Chat	Maximising Influence Spread in Complex Networks by Utilising Community-Based Driver Nodes as Seeds	2023	Abida Sadaf Luke Mathieson Piotr Bródka Katarzyna Musiał
+	Digital Twin-Oriented Complex Networked Systems based on Heterogeneous Node Features and Interaction Rules	2023	Jiaqi Wen Bogdan Gabryś Katarzyna Musiał
+ PDF Chat	Review and Assessment of Digital Twin–Oriented Social Network Simulators	2023	Jiaqi Wen Bogdan Gabryś Katarzyna Musiał
+	Inferring Actual Treatment Pathways from Patient Records	2023	Adrian Caruana Madhushi Bandara Katarzyna Musiał Daniel Catchpoole Paul Kennedy
+	Heterogeneous Feature Representation for Digital Twin-Oriented Complex Networked Systems	2023	Jiaqi Wen Bogdan Gabryś Katarzyna Musiał
+	Network Disruption via Continuous Batch Removal: The Case of Sicilian Mafia	2023	Mingshan Jia Pasquale De Meo Bogdan Gabryś Katarzyna Musiał
+ PDF Chat	The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry	2023	Alexander Scriven David Jacob Kedziora Katarzyna Musiał Bogdan Gabryś
+ PDF Chat	The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry	2023	Alexander Scriven David Jacob Kedziora Katarzyna Musiał Bogdan Gabryś
+	Towards Digital Twin Oriented Modelling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey	2022	Jiaqi Wen Bogdan Gabryś Katarzyna Musiał
+ PDF Chat	On Taking Advantage of Opportunistic Meta-Knowledge to Reduce Configuration Spaces for Automated Machine Learning	2022	David Jacob Kedziora Tien Dung Nguyen Katarzyna Musiał Bogdan Gabryś
+	On Taking Advantage of Opportunistic Meta-knowledge to Reduce Configuration Spaces for Automated Machine Learning	2022	David Jacob Kedziora Tien-Dung Nguyen Katarzyna Musiał Bogdan Gabryś
+	The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry	2022	Alexander Scriven David Jacob Kedziora Katarzyna Musiał Bogdan Gabryś
+	Maximising Influence Spread in Complex Networks by Utilising Community-based Driver Nodes as Seeds	2022	Abida Sadaf Luke Mathieson Piotr Bródka Katarzyna Musiał
+ PDF Chat	Measuring Quadrangle Formation in Complex Networks	2021	Mingshan Jia Bogdan Gabryś Katarzyna Musiał
+ PDF Chat	AutoWeka4MCPS-AVATAR: Accelerating automated machine learning pipeline composition and optimisation	2021	Tien-Dung Nguyen Katarzyna Musiał Bogdan Gabryś
+ PDF Chat	Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning	2021	Tien-Dung Nguyen David Jacob Kedziora Katarzyna Musiał Bogdan Gabryś
+	Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning	2021	Tien-Dung Nguyen David Jacob Kedziora Katarzyna Musiał Bogdan Gabryś
+ PDF Chat	Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey	2021	Joakim Skarding Bogdan Gabryś Katarzyna Musiał
+ PDF Chat	NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size	2021	Xuanyi Dong Lu Liu Katarzyna Musiał Bogdan Gabryś
+	Automated Deep Learning: Neural Architecture Search Is Not the End	2021	Xuanyi Dong David Jacob Kedziora Katarzyna Musiał Bogdan Gabryś
+	Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning	2021	Tien-Dung Nguyen David Jacob Kedziora Katarzyna Musiał Bogdan Gabryś
+	AutoWeka4MCPS-AVATAR: Accelerating Automated Machine Learning Pipeline Composition and Optimisation	2020	Tien-Dung Nguyen Bogdan Gabryś Katarzyna Musiał
+ PDF Chat	Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction	2020	Hongxu Chen Hongzhi Yin Xiangguo Sun Tong Chen Bogdan Gabryś Katarzyna Musiał
+ PDF Chat	Risk perception and behavioral change during epidemics: Comparing models of individual and collective learning	2020	Shaheen A. Abdulkareem Ellen-Wien Augustijn Tatiana Filatova Katarzyna Musiał Yaseen T. Mustafa
+	A Block-based Generative Model for Attributed Networks Embedding	2020	Xueyan Liu Bo Yang Wenzhuo Song Katarzyna Musiał Wanli Zuo Hongxu Chen Hongzhi Yin
+ PDF Chat	Interacting Spreading Processes in Multilayer Networks: A Systematic Review	2020	Piotr Bródka Katarzyna Musiał Jarosław Jankowski
+	Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction	2020	Hongxu Chen Hongzhi Yin Xiangguo Sun Tong Chen Bogdan Gabryś Katarzyna Musiał
+	Measuring Quadrangle Formation in Complex Networks	2020	Mingshan Jia Bogdan Gabryś Katarzyna Musiał
+	AutonoML: Towards an Integrated Framework for Autonomous Machine Learning	2020	David Jacob Kedziora Katarzyna Musiał Bogdan Gabryś
+	AutoWeka4MCPS-AVATAR: Accelerating Automated Machine Learning Pipeline Composition and Optimisation	2020	Tien-Dung Nguyen Bogdan Gabryś Katarzyna Musiał
+	AVATAR -- Machine Learning Pipeline Evaluation Using Surrogate Model	2020	Tien-Dung Nguyen Tomasz Maszczyk Katarzyna Musiał Marc-André Zöller Bogdan Gabryś
+	Simulation and Augmentation of Social Networks for Building Deep Learning Models	2019	Akanda Wahid-Ul-Ashraf Marcin Budka Katarzyna Musiał
+	Sub-query Fragmentation for Query Analysis and Data Caching in the Distributed Environment	2019	Santhilata Kuppili Venkata Katarzyna Musiał
+	Simulation and Augmentation of Social Networks for Building Deep Learning Models	2019	Akanda Wahid -Ul- Ashraf Marcin Budka Katarzyna Musiał
+ PDF Chat	The Impact of Social Versus Individual Learning for Agents' Risk Perception During Epidemics	2018	Shaheen A. Abdulkareem Ellen-Wien Augustijn Katarzyna Musiał Yaseen T. Mustafa Tatiana Filatova
+	NetSim -- The framework for complex network generator	2018	Akanda Wahid Ul Ashraf Marcin Budka Katarzyna Musiał
+	NetSim – The framework for complex network generator	2018	Akanda Wahid-Ul-Ashraf Marcin Budka Katarzyna Musiał
+	NetSim -- The framework for complex network generator	2018	Akanda Wahid -Ul- Ashraf Marcin Budka Katarzyna Musiał
+	Learning in Unlabeled Networks - An Active Learning and Inference Approach	2015	Tomasz Kajdanowicz Radosław Michalski Katarzyna Musiał Przemysław Kazienko
+	Learning in Unlabeled Networks - An Active Learning and Inference Approach	2015	Tomasz Kajdanowicz Radosław Michalski Katarzyna Musiał Przemysław Kazienko
+ PDF Chat	Simulating the Information Diffusion Process in Complex Networks Using Push and Pull Strategies	2014	Dariusz Król Marcin Budka Katarzyna Musiał
+ PDF Chat	On Accuracy of PDF Divergence Estimators and Their Applicability to Representative Data Sampling	2011	Marcin Budka Bogdan Gabryś Katarzyna Musiał
+ PDF Chat	Multidimensional Social Network in the Social Recommender System	2011	Przemysław Kazienko Katarzyna Musiał Tomasz Kajdanowicz
+	Properties of Bridge Nodes in Social Networks	2009	Katarzyna Musiał Krzysztof Juszczyszyn

Common Coauthors

Coauthor	Papers Together
Bogdan Gabryś	36
David Jacob Kedziora	15
Marcin Budka	7
Mingshan Jia	6
Tien-Dung Nguyen	5
Tien-Dung Nguyen	4
Xuanyi Dong	4
Piotr Bródka	3
Madhushi Bandara	3
Hongxu Chen	3
Przemysław Kazienko	3
Paul Kennedy	3
Tomasz Kajdanowicz	3
Jiaqi Wen	3
Hongzhi Yin	3
Jiaqi Wen	3
Alexander Scriven	3
Adrian Caruana	3
Daniel Catchpoole	3
Tatiana Filatova	2
Pasquale De Meo	2
Ellen-Wien Augustijn	2
Abida Sadaf	2
Luke Mathieson	2
Radosław Michalski	2
Xiangguo Sun	2
Yaseen T. Mustafa	2
Akanda Wahid -Ul- Ashraf	2
Akanda Wahid-Ul-Ashraf	2
Shaheen A. Abdulkareem	2
Dariusz Król	1
Bo Yang	1
Jarosław Jankowski	1
Marc-André Zöller	1
Lu Liu	1
Wenzhuo Song	1
Krzysztof Juszczyszyn	1
Tien Dung Nguyen	1
Andreas Gwyther-Gouriotis	1
Tong Chen	1
Wanli Zuo	1
Xueyan Liu	1
Tong Chen	1
Joakim Skarding	1
Jiaqi Wen	1
Tomasz Maszczyk	1
Akanda Wahid Ul Ashraf	1
Santhilata Kuppili Venkata	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Emergence of Scaling in Random Networks	1999	Albert‐László Barabási Réka Albert	7
+ PDF Chat	Automatic Composition and Optimization of Multicomponent Predictive Systems With an Extended Auto-WEKA	2018	Manuel Martín Salvador Marcin Budka Bogdan Gabryś	7
+	Survey on Automated Machine Learning.	2019	Marc-André Zöller Marco F. Huber	6
+ PDF Chat	DeepWalk	2014	Bryan Perozzi Rami Al‐Rfou Steven Skiena	5
+ PDF Chat	Meta-learning for time series forecasting and forecast combination	2010	Christiane Lemke Bogdan Gabryś	5
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	5
+ PDF Chat	Hyperparameter Importance Across Datasets	2018	Jan N. van Rijn Frank Hutter	4
+	AutonoML: Towards an Integrated Framework for Autonomous Machine Learning	2020	David Jacob Kedziora Katarzyna Musiał Bogdan Gabryś	4
+	A Review of Meta-level Learning in the Context of Multi-component, Multi-level Evolving Prediction Systems	2020	Abbas Raza Ali Marcin Budka Bogdan Gabryś	4
+	On the strength of connectedness of a random graph	1964	P. Erdős A. Rényi	4
+	Importance of Tuning Hyperparameters of Machine Learning Algorithms	2020	Hilde Weerts Andreas Mueller Joaquin Vanschoren	4
+	Tunability: Importance of Hyperparameters of Machine Learning Algorithms	2018	Philipp Probst Bernd Bischl Anne‐Laure Boulesteix	3
+ PDF Chat	AutonoML: Towards an Integrated Framework for Autonomous Machine Learning	2024	David Jacob Kedziora Katarzyna Musiał Bogdan Gabryś	3
+ PDF Chat	Cycles and clustering in bipartite networks	2005	Pedro G. Lind Marta C. González Hans J. Herrmann	3
+ PDF Chat	Identification of influential spreaders in complex networks	2010	Maksim Kitsak Lazaros K. Gallos Shlomo Havlin Fredrik Liljeros Lev Muchnik H. Eugene Stanley Hernán A. Makse	3
+ PDF Chat	AutoWeka4MCPS-AVATAR: Accelerating automated machine learning pipeline composition and optimisation	2021	Tien-Dung Nguyen Katarzyna Musiał Bogdan Gabryś	3
+ PDF Chat	Clustering in complex directed networks	2007	Giorgio Fagiolo	3
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	3
+ PDF Chat	Measuring Quadrangle Formation in Complex Networks	2021	Mingshan Jia Bogdan Gabryś Katarzyna Musiał	3
+	AutoWeka4MCPS-AVATAR: Accelerating Automated Machine Learning Pipeline Composition and Optimisation	2020	Tien-Dung Nguyen Bogdan Gabryś Katarzyna Musiał	3
+	Representation Learning on Graphs: Methods and Applications	2017	William L. Hamilton Rex Ying Jure Leskovec	3
+	Multi-layer Representation Learning for Medical Concepts	2016	Edward Choi Mohammad Taha Bahadori Elizabeth Searles Catherine Coffey Michael Thompson James E. Bost Javier Tejedor‐Sojo Jimeng Sun	3
+ PDF Chat	The architecture of complex weighted networks	2004	Alain Barrat Marc Barthélemy Romualdo Pastor‐Satorras Alessandro Vespignani	3
+	ON A CLASS OF SKEW DISTRIBUTION FUNCTIONS	1955	Herbert A. Simon	3
+	Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering	2016	Michaël Defferrard Xavier Bresson Pierre Vandergheynst	3
+ PDF Chat	Intensity and coherence of motifs in weighted complex networks	2005	Jukka-Pekka Onnela Jari Saramäki János Kertész Kimmo Kaski	3
+ PDF Chat	Power laws, Pareto distributions and Zipf's law	2005	MEJ Newman	3
+ PDF Chat	Clustering coefficient and community structure of bipartite networks	2008	Peng Zhang Jin-Liang Wang Xiaojia Li Menghui Li Zengru Di Ying Fan	3
+	Tunability: Importance of Hyperparameters of Machine Learning Algorithms	2019	Philipp Probst Anne‐Laure Boulesteix Bernd Bischl	3
+	Benchmarking Automatic Machine Learning Frameworks	2018	Adithya Balaji Alexander G. Allen	3
+	Node Classification in Social Networks	2011	Smriti Bhagat Graham Cormode S. Muthukrishnan	3
+	Attention Is All You Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	3
+ PDF Chat	Intelligent judgements over health risks in a spatial agent-based model	2018	Shaheen A. Abdulkareem Ellen-Wien Augustijn Yaseen T. Mustafa Tatiana Filatova	2
+ PDF Chat	An effective rumor-containing strategy	2018	Cheng Pan Lu‐Xing Yang Xiaofan Yang Yingbo Wu Yuan Yan Tang	2
+	Statistical Comparisons of Classifiers over Multiple Data Sets	2006	Janez Demšar	2
+	MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare	2018	Edward Choi Cao Xiao Walter F. Stewart Jimeng Sun	2
+	Community structure in social and biological networks	2002	Michelle Girvan M. E. J. Newman	2
+	Variational Graph Auto-Encoders	2016	Thomas Kipf Max Welling	2
+ PDF Chat	Graph embedding techniques, applications, and performance: A survey	2018	Palash Goyal Emilio Ferrara	2
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	2
+ PDF Chat	Similarity index based on local paths for link prediction of complex networks	2009	Linyuan Lü Ci-Hang Jin Tao Zhou	2
+ PDF Chat	Agent-based modelling of cholera diffusion	2016	Ellen-Wien Augustijn Tom Doldersum Juliana Useya Denie Augustijn	2
+ PDF Chat	The Impact of Heterogeneity and Awareness in Modeling Epidemic Spreading on Multiplex Networks	2016	Marialisa Scatá Alessandro Di Stefano Píetro Lió Aurelio La Corte	2
+ PDF Chat	Hypergraph Neural Networks	2019	Yifan Feng Haoxuan You Zizhao Zhang Rongrong Ji Yue Gao	2
+ PDF Chat	Reaction–diffusion processes and metapopulation models in heterogeneous networks	2007	Vittoria Colizza Romualdo Pastor‐Satorras Alessandro Vespignani	2
+ PDF Chat	Model of complex networks based on citation dynamics	2013	Lovro Šubelj Marko Bajec	2
+ PDF Chat	OpenML	2014	Joaquin Vanschoren Jan N. van Rijn Bernd Bischl Luı́s Torgo	2
+ PDF Chat	Generalizations of the clustering coefficient to weighted complex networks	2007	Jari Saramäki Mikko Kivelä Jukka‐Pekka Onnela Kimmo Kaski János Kertész	2
+ PDF Chat	De-anonymizing Social Networks	2009	Arvind Narayanan Vitaly Shmatikov	2
+ PDF Chat	On variants of shortest-path betweenness centrality and their generic computation	2008	Ulrik Brandes	2