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Complex networks pervade various real-world systems, from the natural environment to human societies.
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LAN Amaral and JM Ottino · 2004
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Modelling disease outbreaks in realistic urban social networks
Stephen Eubank, Hasan Guclu, VS Anil Kumar, Madhav V Marathe, Aravind Srinivasan, Zoltan Toroczkai, and Nan Wang · 2004
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Self-similarity of complex networks
Chaoming Song, Shlomo Havlin, and Hernan A Makse · 2005
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Complex networks: Structure and dynamics
Stefano Boccaletti, Vito Latora, Yamir Moreno, Martin Chavez, and D-U Hwang · 2006
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Modelling and forecasting the diffusion of innovation–a 25-year review
Nigel Meade and Towhidul Islam · 2006
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Origins of fractality in the growth of complex networks
Chaoming Song, Shlomo Havlin, and Hernán A Makse · 2006
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Complex systems analysis of series of blackouts: Cascading failure, critical points, and self-organization
Ian Dobson, Benjamin A Carreras, Vickie E Lynch, and David E Newman · 2007
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Stability and diversity of ecosystems
Anthony R Ives and Stephen R Carpenter · 2007
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Critical phenomena in complex networks
Sergey N Dorogovtsev, Alexander V Goltsev, and José FF Mendes · 2008
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Generic absorbing transition in coevolution dynamics
Federico Vazquez, Víctor M Eguíluz, and Maxi San Miguel · 2008
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Co-evolution of social and affiliation networks
Elena Zheleva, Hossam Sharara, and Lise Getoor · 2009
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Catastrophic cascade of failures in interdependent networks
Sergey V Buldyrev, Roni Parshani, Gerald Paul, H Eugene Stanley, and Shlomo Havlin · 2010
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Controllability of complex networks
Yang-Yu Liu, Jean-Jacques Slotine, and Albert-László Barabási · 2011
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Link prediction in complex networks: A survey
Linyuan Lü and Tao Zhou · 2011
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Social network dynamics of face-to-face interactions
Kun Zhao, Juliette Stehlé, Ginestra Bianconi, and Alain Barrat · 2011
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Stability criteria for complex ecosystems
Stefano Allesina and Si Tang · 2012
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Popularity versus similarity in growing networks
Fragkiskos Papadopoulos, Maksim Kitsak, M Ángeles Serrano, Marián Boguná, and Dmitri Krioukov · 2012
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Universality in network dynamics
Baruch Barzel and Albert-László Barabási · 2013
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean · 2013
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Playing atari with deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, and Martin Riedmiller · 2013
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Estimating the tolerance of species to the effects of global environmental change
Serguei Saavedra, Rudolf P Rohr, Vasilis Dakos, and Jordi Bascompte · 2013
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Exact analytical solutions of the susceptible-infected-recovered (sir) epidemic model and of the sir model with equal death and birth rates
Tiberiu Harko, Francisco SN Lobo, and MK3197716 Mak · 2014
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Spontaneous recovery in dynamical networks
Antonio Majdandzic, Boris Podobnik, Sergey V Buldyrev, Dror Y Kenett, Shlomo Havlin, and H Eugene Stanley · 2014
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Deepwalk: Online learning of social representations
Bryan Perozzi, Rami Al-Rfou, and Steven Skiena · 2014
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Regnetwork: an integrated database of transcriptional and post-transcriptional regulatory networks in human and mouse
Zhi-Ping Liu, Canglin Wu, Hongyu Miao, and Hulin Wu · 2015
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Human-level control through deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski, et al · 2015
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Epidemic processes in complex networks
Romualdo Pastor-Satorras, Claudio Castellano, Piet Van Mieghem, and Alessandro Vespignani · 2015
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Assessing the role of network topology in transportation network resilience
Xiaodong Zhang, Elise Miller-Hooks, and Kevin Denny · 2015
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Higher-order organization of complex networks
Austin R Benson, David F Gleich, and Jure Leskovec · 2016
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Universal resilience patterns in complex networks
Jianxi Gao, Baruch Barzel, and Albert-László Barabási · 2016
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node2vec: Scalable feature learning for networks
Aditya Grover and Jure Leskovec · 2016
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Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling · 2016
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Variational graph auto-encoders
Thomas N Kipf and Max Welling · 2016
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Vital nodes identification in complex networks
Linyuan Lü, Duanbing Chen, Xiao-Long Ren, Qian-Ming Zhang, Yi-Cheng Zhang, and Tao Zhou · 2016
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Combining complex networks and data mining: why and how
Massimiliano Zanin, David Papo, Pedro A Sousa, Ernestina Menasalvas, Andrea Nicchi, Elaine Kubik, and Stefano Boccaletti · 2016
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Multiscale stochastic prediction of electricity demand in smart grids using bayesian networks
Nastaran Bassamzadeh and Roger Ghanem · 2017
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Diversity spurs diversification in ecological communities
Vincent Calcagno, Philippe Jarne, Michel Loreau, Nicolas Mouquet, and Patrice David · 2017
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Inductive representation learning on large graphs
Will Hamilton, Zhitao Ying, and Jure Leskovec · 2017
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Dynamic patterns of information flow in complex networks
Uzi Harush and Baruch Barzel · 2017
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Diffusion convolutional recurrent neural network: Data-driven traffic forecasting
Yaguang Li, Rose Yu, Cyrus Shahabi, and Yan Liu · 2017
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Adaptive dynamical networks
Oleg Vladimirovich Maslennikov and Vladimir Isaakovich Nekorkin · 2017
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Protein–ligand scoring with convolutional neural networks
Matthew Ragoza, Joshua Hochuli, Elisa Idrobo, Jocelyn Sunseri, and David Ryan Koes · 2017
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Proximal policy optimization algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, and Yoshua Bengio · 2017
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Weisfeiler-lehman neural machine for link prediction
Muhan Zhang and Yixin Chen · 2017
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Netgan: Generating graphs via random walks
Aleksandar Bojchevski, Oleksandr Shchur, Daniel Zügner, and Stephan Günnemann · 2018
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A comprehensive survey of graph embedding: Problems, techniques, and applications
Hongyun Cai, Vincent W Zheng, and Kevin Chen-Chuan Chang · 2018
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Trrust v2: an expanded reference database of human and mouse transcriptional regulatory interactions
Heonjong Han, Jae-Won Cho, Sangyoung Lee, Ayoung Yun, Hyojin Kim, Dasom Bae, Sunmo Yang, Chan Yeong Kim, Muyoung Lee, Eunbeen Kim, et al · 2018
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Pypsa-eur: An open optimisation model of the european transmission system
Jonas Hörsch, Fabian Hofmann, David Schlachtberger, and Tom Brown · 2018
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Neural relational inference for interacting systems
Thomas Kipf, Ethan Fetaya, Kuan-Chieh Wang, Max Welling, and Richard Zemel · 2018
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Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science
Decebal Constantin Mocanu, Elena Mocanu, Peter Stone, Phuong H Nguyen, Madeleine Gibescu, and Antonio Liotta · 2018
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Network embedding as matrix factorization: Unifying deepwalk, line, pte, and node2vec
Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, and Jie Tang · 2018
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Deepinf: Social influence prediction with deep learning
Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, and Jie Tang · 2018
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Modeling the ecology and evolution of biodiversity: Biogeographical cradles, museums, and graves
Thiago F Rangel, Neil R Edwards, Philip B Holden, José Alexandre F Diniz-Filho, William D Gosling, Marco Túlio P Coelho, Fernanda AS Cassemiro, Carsten Rahbek, and Robert K Colwell · 2018
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Structure-oriented prediction in complex networks
Zhuo-Ming Ren, An Zeng, and Yi-Cheng Zhang · 2018
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Reconstruction methods for networks: The case of economic and financial systems
Tiziano Squartini, Guido Caldarelli, Giulio Cimini, Andrea Gabrielli, and Diego Garlaschelli · 2018
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A quest for structure: Jointly learning the graph structure and semi-supervised classification
Xuan Wu, Lingxiao Zhao, and Leman Akoglu · 2018
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Graphrnn: Generating realistic graphs with deep auto-regressive models
Jiaxuan You, Rex Ying, Xiang Ren, William Hamilton, and Jure Leskovec · 2018
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Deep potential molecular dynamics: a scalable model with the accuracy of quantum mechanics
Linfeng Zhang, Jiequn Han, Han Wang, Roberto Car, and EJPRL Weinan · 2018
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Link prediction based on graph neural networks
Muhan Zhang and Yixin Chen · 2018
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Influence of fake news in twitter during the 2016 us presidential election
Alexandre Bovet and Hernán A Makse · 2019
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BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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Multiple rumor source detection with graph convolutional networks
Ming Dong, Bolong Zheng, Nguyen Quoc Viet Hung, Han Su, and Guohui Li · 2019
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Hypergraph neural networks
Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, and Yue Gao · 2019
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Learning discrete structures for graph neural networks
Luca Franceschi, Mathias Niepert, Massimiliano Pontil, and Xiao He · 2019
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Hamiltonian neural networks
Samuel Greydanus, Misko Dzamba, and Jason Yosinski · 2019
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Hyper-path-based representation learning for hyper-networks
Jie Huang, Xin Liu, and Yangqiu Song · 2019
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Generative models for graph-based protein design
John Ingraham, Vikas Garg, Regina Barzilay, and Tommi Jaakkola · 2019
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Harnessing tipping points in complex ecological networks
Junjie Jiang, Alan Hastings, and Ying-Cheng Lai · 2019
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Efficient graph generation with graph recurrent attention networks
Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, Will Hamilton, David K Duvenaud, Raquel Urtasun, and Richard Zemel · 2019
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Learning heuristics over large graphs via deep reinforcement learning
Sahil Manchanda, Akash Mittal, Anuj Dhawan, Sourav Medya, Sayan Ranu, and Ambuj Singh · 2019
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Costless metabolic secretions as drivers of interspecies interactions in microbial ecosystems
Alan R Pacheco, Mauricio Moel, and Daniel Segrè · 2019
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Deepdrug3d: classification of ligand-binding pockets in proteins with a convolutional neural network
Limeng Pu, Rajiv Gandhi Govindaraj, Jeffrey Mitchell Lemoine, Hsiao-Chun Wu, and Michal Brylinski · 2019
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Netsmf: Large-scale network embedding as sparse matrix factorization
Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, and Jie Tang · 2019
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Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
Maziar Raissi, Paris Perdikaris, and George E Karniadakis · 2019
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Protein model accuracy estimation based on local structure quality assessment using 3d convolutional neural network
Rin Sato and Takashi Ishida · 2019
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Coevolution spreading in complex networks
Wei Wang, Quan-Hui Liu, Junhao Liang, Yanqing Hu, and Tao Zhou · 2019
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Exploring randomly wired neural networks for image recognition
Saining Xie, Alexander Kirillov, Ross Girshick, and Kaiming He · 2019
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Relation-aware graph convolutional networks for agent-initiated social e-commerce recommendation
Fengli Xu, Jianxun Lian, Zhenyu Han, Yong Li, Yujian Xu, and Xing Xie · 2019
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Resiliency of mutualistic supplier-manufacturer networks
Mengkai Xu, Srinivasan Radhakrishnan, Sagar Kamarthi, and Xiaoning Jin · 2019
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Hypergcn: A new method for training graph convolutional networks on hypergraphs
Naganand Yadati, Madhav Nimishakavi, Prateek Yadav, Vikram Nitin, Anand Louis, and Partha Talukdar · 2019
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Topology optimization based graph convolutional network
Liang Yang, Zesheng Kang, Xiaochun Cao, Di Jin, Bo Yang, and Yuanfang Guo · 2019
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Oag: Toward linking large-scale heterogeneous entity graphs
Fanjin Zhang, Xiao Liu, Jie Tang, Yuxiao Dong, Peiran Yao, Jie Zhang, Xiaotao Gu, Yan Wang, Bin Shao, Rui Li, et al · 2019
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Networks beyond pairwise interactions: Structure and dynamics
Federico Battiston, Giulia Cencetti, Iacopo Iacopini, Vito Latora, Maxime Lucas, Alice Patania, Jean-Gabriel Young, and Giovanni Petri · 2020
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Learning symbolic models for graph-structured physical mechanism
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Interaction modeling with multiplex attention
Fan-Yun Sun, Isaac Kauvar, Ruohan Zhang, Jiachen Li, Mykel J Kochenderfer, Jiajun Wu, and Nick Haber · 2022
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Digress: Discrete denoising diffusion for graph generation
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Multiscale simulations of complex systems by learning their effective dynamics
Pantelis R Vlachas, Georgios Arampatzis, Caroline Uhler, and Petros Koumoutsakos · 2022
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An invertible graph diffusion neural network for source localization
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Mathematical discoveries from program search with large language models
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Social distancing metrics
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Gennet: A generative ai-powered synthetic data ecosystem for mobile networks
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Geometric deep learning for online prediction of cascading failures in power grids
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Deep-learning-enabled protein–protein interaction analysis for prediction of sars-cov-2 infectivity and variant evolution
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Neural common neighbor with completion for link prediction
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Decor: Degree-corrected social graph refinement for fake news detection
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Diffusion model for graph inverse problems: Towards effective source localization on complex networks
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Stochastic gradient descent introduces an effective landscape-dependent regularization favoring flat solutions
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An attentional multi-scale co-evolving model for dynamic link prediction
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A survey for solving mixed integer programming via machine learning
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Deep transfer learning for city-scale cellular traffic generation through urban knowledge graph
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Relationships of temperature and biodiversity with stability of natural aquatic food webs
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A novel higher-order neural network framework based on motifs attention for identifying critical nodes
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Towards predicting equilibrium distributions for molecular systems with deep learning
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Gui: A comprehensive dataset of global urban infrastructure based on geospatial visual foundation models
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Facilitating graph neural networks with random walk on simplicial complexes
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Domirank centrality reveals structural fragility of complex networks via node dominance
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Diversity of information pathways drives sparsity in real-world networks
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A survey on hypergraph mining: Patterns, tools, and generators
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Generating fine-grained surrogate temporal networks
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Learning low-rank latent mesoscale structures in networks
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The low-rank hypothesis of complex systems
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Identifying keystone species in microbial communities using deep learning
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