Awesome q-bio.PE

Within-host immunology to age-of-infection epidemiology via a virtual cohort (2026)

Julien Arino et al.

1.83

Spatio-temporal stochastic graph-based learning for infectious disease forecasting (2026)

Luz Stefani Sotomayor Valenzuela and Susanna Cramb and Darren Wraith

1.83

From Ecological Connectivity to Outbreak Risk: A Heterogeneous Graph Network for Epidemiological Reasoning under Sparse Spatiotemporal Data (2026)

Haley Stone et al.

1.61

Identifying Asymptomatic Nodes in Network Epidemics using Graph Neural Networks (2025)

Conrado Catarcione Pinto et al.

1.44

Decoding Positive Selection in Mycobacterium tuberculosis with Phylogeny-Guided Graph Attention Models (2025)

Linfeng Wang et al.

1.44

Observer-Based Source Localization in Tree Infection Networks via Laplace Transforms (2025)

Kesler O'Connor et al.

1.44

Life Finds A Way: Emergence of Cooperative Structures in Adaptive Threshold Networks (2025)

Sean P. Maley et al.

1.28

Modelling the spillover from online engagement to offline protest: stochastic dynamics and mean-field approximations on networks (2025)

Moyi Tian et al.

1.28

Symmetries of weighted networks: weight approximation method and its application to food webs (2025)

Julia Korol et al.

1.22

Heterogeneous graph neural networks for species distribution modeling (2025)

Lauren Harrell et al.

1.06

Drivers of cooperation in social dilemmas on higher-order networks (2025)

Onkar Sadekar et al.

1.00

Pangraphs as models of higher-order interactions (2025)

Mateusz Iskrzy\'nski et al.

1.00

Coarse-Graining Cascades Within Food Webs (2025)

Justin D. Yeakel

1.00

Modeling COVID-19 spread in the USA using metapopulation SIR models coupled with graph convolutional neural networks (2025)

Petr Kisselev et al.

0.94

Evolution of Cooperation in the Presence of Higher-Order Interactions: from Networks to Hypergraphs (2020)

Giulio Burgio et al.

—

Reducing Recurrent Competitive Epidemics via Dynamic Resource Allocation (2020)

Argyris Kalogeratos et al.

—

Topology dependent payoffs can lead to escape from prisoner's dilemma (2020)

Saptarshi Sinha et al.

—

Epidemic Spreading and Equilibrium Social Distancing in Heterogeneous Networks (2020)

Hamed Amini and Andreea Minca

—

A framework to evaluate whether to pool or separate behaviors in a multilayer network (2020)

Annemarie van der Marel (1) et al.

—

Hierarchical Coarse-grained Approach to the Duration-dependent Spreading Dynamics in Complex Networks (2020)

Jin-Fu Chen et al.

—

Epidemic Thresholds of Infectious Diseases on Tie-Decay Networks (2020)

Qinyi Chen and Mason A. Porter

—

Network-based Prediction of COVID-19 Epidemic Spreading in Italy (2020)

Clara Pizzuti et al.

—

Scale-free networks may not necessarily witness cooperation (2021)

Deep Nath et al.

—

Reconstructing large networks with time-varying interactions (2021)

Chun-Wei Chang et al.

—

Exact epidemic models from a tensor product formulation (2021)

Wout Merbis

—

Infection percolation: A dynamic network model of disease spreading (2021)

Christopher A. Browne et al.

—

Competing Epidemics on Graphs -- Global Convergence and Coexistence (2021)

Vishwaraj Doshi et al.

—

Estimating the State of Epidemics Spreading with Graph Neural Networks (2021)

Abhishek Tomy et al.

—

Networks of climate change: Connecting causes and consequences (2021)

Petter Holme et al.

—

Logistic growth on networks: exact solutions for the SI model (2021)

Wout Merbis and Ivano Lodato

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Probability of Insect Capture in a Trap Network: Low Prevalence and Detection Trapping with TrapGrid (2021)

Nicholas C Manoukis et al.

—

Effective Resistance for Pandemics: Mobility Network Sparsification for High-Fidelity Epidemic Simulation (2021)

Alexander M. Mercier et al.

—

The brain as a probabilistic transducer: an evolutionarily plausible network architecture for knowledge representation, computation, and behavior (2021)

Joseph Y. Halpern and Arnon Lotem

—

Efficient Stochastic Simulation of Network Topology Effects on the Peak Number of Infections in Epidemic Outbreaks (2022)

Yulian Kuryliak and Michael Emmerich and Dmytro Dosyn

—

Population games on dynamic community networks (2022)

Alain Govaert and Lorenzo Zino and Emma Tegling

—

Clustering Drives Cooperation on Reputation Networks, All Else Fixed (2022)

Tamas David-Barrett

—

Dynamics on higher-order networks: A review (2022)

Soumen Majhi et al.

—

EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting (2022)

Feng Xie et al.

—

What constrains food webs? A maximum entropy framework for predicting their structure with minimal biases (2022)

Francis Banville (1 et al.

—

Deep Learning-Derived Optimal Aviation Strategies to Control Pandemics (2022)

Syed Rizvi et al.

—

Spontaneous emergence of groups and signaling diversity in dynamic networks (2022)

Zachary Fulker et al.

—

Forecasting West Nile Virus with Graph Neural Networks: Harnessing Spatial Dependence in Irregularly Sampled Geospatial Data (2022)

Adam Tonks (1) et al.

—

High-Accuracy Approximation of Evolutionary Pairwise Games on Complex Networks (2023)

Hongyu Wang et al.

—

Strategy evolution on dynamic networks (2023)

Qi Su et al.

—

Towards inferring network properties from epidemic data (2023)

Istv\'an Z. Kiss and Luc Berthouze and Wasiur R. KhudaBukhsh

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Learnable Topological Features for Phylogenetic Inference via Graph Neural Networks (2023)

Cheng Zhang

—

Explosive cooperation in social dilemmas on higher-order networks (2023)

Andrea Civilini et al.

—

Matrix Product Belief Propagation for reweighted stochastic dynamics over graphs (2023)

Stefano Crotti and Alfredo Braunstein

—

Fixation probability in evolutionary dynamics on switching temporal networks (2023)

Jnanajyoti Bhaumik and Naoki Masuda

—

Cooperating Graph Neural Networks with Deep Reinforcement Learning for Vaccine Prioritization (2023)

Lu Ling et al.

—

Analysis of Insect-Plant Interactions Affected by Mining Operations, A Graph Mining Approach (2023)

Ali Bayat et al.

—

MSGNN: Multi-scale Spatio-temporal Graph Neural Network for Epidemic Forecasting (2023)

Mingjie Qiu et al.

—

Inferring Long-term Dynamics of Ecological Communities Using Combinatorics (2023)

William S. Cuello et al.

—

Four universal growth regimes in degree-dependent first passage percolation on spatial random graphs I (2023)

J\'ulia Komj\'athy et al.

—

Polynomial growth in degree-dependent first passage percolation on spatial random graphs (2023)

J\'ulia Komj\'athy et al.

—

Network Ecology of Marriage (2023)

Tamas David-Barrett

—

ARTree: A Deep Autoregressive Model for Phylogenetic Inference (2023)

Tianyu Xie et al.

—

Combining Compositional Data Sets Introduces Error in Covariance Network Reconstruction (2023)

James D. Brunner and Aaron J. Robinson and Patrick S.G. Chain

—

Backbone-based Dynamic Graph Spatio-Temporal Network for Epidemic Forecasting (2023)

Junkai Mao et al.

—

Global Prediction of COVID-19 Variant Emergence Using Dynamics-Informed Graph Neural Networks (2024)

Majd Al Aawar et al.

—

Awesome q-bio.PE

Datasets & benchmarks

Key papers

q-bio.PE

Awesome q-bio.PE

Datasets & benchmarks

Key papers