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Qi Ni
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All published works
Action
Title
Year
Authors
+
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Machine learning dynamical phase transitions in complex networks
2019
Qi Ni
Ming Tang
Ying Liu
Ying‐Cheng Lai
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PDF
Chat
Learning epidemic threshold in complex networks by Convolutional Neural Network
2019
Qi Ni
Jie Kang
Ming Tang
Ying Liu
Yong Zou
+
PDF
Chat
FPGA-based Binocular Image Feature Extraction and Matching System
2019
Qi Ni
Fei Wang
Ziwei Zhao
Peng Gao
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FPGA-based Binocular Image Feature Extraction and Matching System
2019
Qi Ni
Fei Wang
Ziwei Zhao
Peng Gao
Common Coauthors
Coauthor
Papers Together
Ying Liu
2
Fei Wang
2
Ziwei Zhao
2
Ming Tang
2
Peng Gao
2
Ying‐Cheng Lai
1
Jie Kang
1
Yong Zou
1
Commonly Cited References
Action
Title
Year
Authors
# of times referenced
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PDF
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Epidemic processes in complex networks
2015
Romualdo Pastor‐Satorras
Claudio Castellano
Piet Van Mieghem
Alessandro Vespignani
2
+
PDF
Chat
Critical phenomena in complex networks
2008
S. N. Dorogovt︠s︡ev
A. V. Goltsev
J. F. F. Mendes
2
+
PDF
Chat
Spread of epidemic disease on networks
2002
M. E. J. Newman
2
+
PDF
Chat
Epidemic Spreading in Scale-Free Networks
2001
Romualdo Pastor‐Satorras
Alessandro Vespignani
2
+
PDF
Chat
Epidemic dynamics and endemic states in complex networks
2001
Romualdo Pastor‐Satorras
Alessandro Vespignani
2
+
PDF
Chat
Integral Images: Efficient Algorithms for Their Computation and Storage in Resource-Constrained Embedded Vision Systems
2015
Shoaib Ehsan
Adrian F. Clark
Naveed ur Rehman
Klaus D. McDonald-Maier
2
+
PDF
Chat
Nature of the Epidemic Threshold for the Susceptible-Infected-Susceptible Dynamics in Networks
2013
Marián Boguñá
Claudio Castellano
Romualdo Pastor‐Satorras
2
+
PDF
Chat
Machine learning phases of matter
2017
Juan Carrasquilla
Roger G. Melko
2
+
PDF
Chat
The physics of spreading processes in multilayer networks
2016
Manlio De Domenico
Clara Granell
Mason A. Porter
Àlex Arenas
2
+
PDF
Chat
Sampling methods for the quasistationary regime of epidemic processes on regular and complex networks
2016
Renan S. Sander
Guilherme S. Costa
Silvio C. Ferreira
2
+
PDF
Chat
Discovering phase transitions with unsupervised learning
2016
Lei Wang
2
+
PDF
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Solving the quantum many-body problem with artificial neural networks
2017
Giuseppe Carleo
Matthias Troyer
2
+
PDF
Chat
Self-learning Monte Carlo method
2017
Junwei Liu
Yang Qi
Zi Yang Meng
Liang Fu
2
+
PDF
Chat
Learning phase transitions by confusion
2017
Evert van Nieuwenburg
Ye-Hua Liu
Sebastian D. Huber
2
+
PDF
Chat
Unification of theoretical approaches for epidemic spreading on complex networks
2017
Wei Wang
Ming Tang
H. Eugene Stanley
Lidia A. Braunstein
2
+
PDF
Chat
Quantum Entanglement in Neural Network States
2017
Dong-Ling Deng
Xiaopeng Li
S. Das Sarma
2
+
PDF
Chat
Probing many-body localization with neural networks
2017
Frank Schindler
Nicolas Regnault
Titus Neupert
2
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PDF
Chat
Machine learning <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mi mathvariant="double-struck">Z</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:math> quantum spin liquids with quasiparticle statistics
2017
Yi Zhang
Roger G. Melko
Eun-Ah Kim
2
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PDF
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Quantum Loop Topography for Machine Learning
2017
Yi Zhang
Eun-Ah Kim
2
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PDF
Chat
Machine Learning Out-of-Equilibrium Phases of Matter
2018
Jordan Venderley
Vedika Khemani
Eun-Ah Kim
2
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PDF
Chat
Machine learning topological states
2017
Dong-Ling Deng
Xiaopeng Li
S. Das Sarma
2
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PDF
Chat
Competing activation mechanisms in epidemics on networks
2012
Claudio Castellano
Romualdo Pastor‐Satorras
2
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Deep Learning the Quantum Phase Transitions in Random Two-Dimensional Electron Systems
2016
Tomoki Ohtsuki
Tomi Ohtsuki
2
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PDF
Chat
Epidemic thresholds of the susceptible-infected-susceptible model on networks: A comparison of numerical and theoretical results
2012
Silvio C. Ferreira
Claudio Castellano
Romualdo Pastor‐Satorras
2
+
PDF
Chat
Core-like groups result in invalidation of identifying super-spreader by k-shell decomposition
2015
Ying Liu
Ming Tang
Tao Zhou
Younghae Do
1
+
PDF
Chat
COMMUNITY STRUCTURE IN JAZZ
2003
Pablo M. Gleiser
León Danon
1
+
PDF
Chat
Generation of uncorrelated random scale-free networks
2005
Michele Catanzaro
Marian Boguñá
Romualdo Pastor‐Satorras
1
+
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
1
+
Node Classification in Social Networks
2011
Smriti Bhagat
Graham Cormode
S. Muthukrishnan
1
+
PDF
Chat
Robust network community detection using balanced propagation
2011
Lovro Šubelj
Marko Bajec
1
+
PDF
Chat
Self-similar community structure in a network of human interactions
2003
Roger Guimerà
León Danon
Albert Dı́az-Guilera
Francesc Giralt
Àlex Arenas
1
+
Graph Classification with 2D Convolutional Neural Networks
2017
Antoine J.‐P. Tixier
Giannis Nikolentzos
Polykarpos Meladianos
Michalis Vazirgiannis
1
+
PDF
Chat
Popularity versus similarity in growing networks
2012
Fragkiskos Papadopoulos
Maksim Kitsak
M. Ángeles Serrano
Marián Boguñá
Dmitri Krioukov
1
+
PDF
Chat
Machine learning meets network science: dimensionality reduction for fast and efficient embedding of networks in the hyperbolic space
2016
Josephine Maria Thomas
Alessandro Muscoloni
Sara Ciucci
Ginestra Bianconi
Carlo Vittorio Cannistraci
1
+
Low-Dimensional Geometry
2009
Francis Bonahon
1
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Low-dimensional geometry: from Euclidean surfaces to hyperbolic knots
2010
1
+
Representation Learning on Graphs: Methods and Applications
2017
William L. Hamilton
Rex Ying
Jure Leskovec
1
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Graph Neural Networks: A Review of Methods and Applications
2018
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
1
+
Semi-Supervised Classification with Graph Convolutional Networks
2016
Thomas Kipf
Max Welling
1
+
PDF
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Graph Classification with 2D Convolutional Neural Networks
2019
Antoine J.‐P. Tixier
Giannis Nikolentzos
Polykarpos Meladianos
Michalis Vazirgiannis
1
+
PDF
Chat
Machine learning meets complex networks via coalescent embedding in the hyperbolic space
2017
Alessandro Muscoloni
Josephine Maria Thomas
Sara Ciucci
Ginestra Bianconi
Carlo Vittorio Cannistraci
1
+
PDF
Chat
Geometric Deep Learning: Going beyond Euclidean data
2017
Michael M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
Pierre Vandergheynst
1
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Proceedings of the 25th international conference on Machine learning - ICML '08
2008
1