Awesome Statistical Mechanics

Sharp feature-learning transitions and Bayes-optimal neural scaling laws in extensive-width networks (2026)

Minh-Toan Nguyen et al.

1.83

Conditional Entropy of Heat Diffusion on Temporal Networks (2026)

Samuel Koovely et al.

1.83

Reinforcement Learning for Microcanonical Graph Ensemble with Assortativity Constraints (2026)

Hoyun Choi et al.

1.83

Anomalous scaling in redirection networks (2026)

Harrison Hartle et al.

1.78

Distinct mechanisms underlying in-context learning in transformers (2026)

Cole Gibson et al.

1.78

The CriticalSet problem: Identifying Critical Contributors in Bipartite Dependency Networks (2026)

Sebastiano A. Piccolo and Andrea Tagarelli

1.78

Graph energy as a measure of community detectability in networks (2026)

Lucas B\"ottcher et al.

1.61

Nonequilibrium phase transitions in a racism-spreading model with interaction-driven dynamics (2026)

Nuno Crokidakis et al.

1.61

Deterministic construction of typical networks in network models (2025)

Narayan G. Sabhahit et al.

1.56

Hierarchical geometric deep learning enables scalable analysis of molecular dynamics (2025)

Zihan Pengmei et al.

1.56

Statistics of leaves in growing random trees (2025)

Harrison Hartle et al.

1.50

Graphical model for factorization and completion of relatively high rank tensors by sparse sampling (2025)

Angelo Giorgio Cavaliere et al.

1.44

Belief propagation for finite networks using a symmetry-breaking source node (2025)

Seongmin Kim and Alec Kirkley

1.44

Larger holes as narrower degree distributions in complex networks (2025)

Kiri Kawato et al.

1.44

Inference in Spreading Processes with Neural-Network Priors (2025)

Davide Ghio et al.

1.39

Effects of structural properties of neural networks on machine learning performance (2025)

Yash Arya et al.

1.28

Opinion formation in Wikipedia Ising networks (2025)

Leonardo Ermann and Klaus M. Frahm and Dima L. Shepelyansky

1.28

How do Probabilistic Graphical Models and Graph Neural Networks Look at Network Data? (2025)

Michela Lapenna et al.

1.22

Evolutionary chemical learning in dimerization networks (2025)

Alexei V. Tkachenko et al.

1.22

Robust Markov stability for community detection at a scale learned based on the structure (2025)

Samin Aref and Sanchaai Mathiyarasan

1.11

Network Sampling: An Overview and Comparative Analysis (2025)

Quoc Chuong Nguyen

1.11

Evidence of Replica Symmetry Breaking under the Nishimori conditions in epidemic inference on graphs (2025)

Alfredo Braunstein et al.

1.00

Block-corrected Modularity for Community Detection (2025)

Hasti Narimanzadeh et al.

1.00

Topological constraints on self-organisation in locally interacting systems (2025)

Francesco Sacco et al.

0.94

A theoretical framework for overfitting in energy-based modeling (2025)

Giovanni Catania et al.

0.94

Deep learning of contagion dynamics on complex networks (2020)

Charles Murphy et al.

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Weighted hypersoft configuration model (2020)

Ivan Voitalov et al.

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Network navigation using Page Rank random walks (2020)

Emilio Aced Fuentes and Simone Santini

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Degree-Ordered-Percolation on uncorrelated networks (2020)

Annalisa Caligiuri et al.

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Unraveling the effects of multiscale network entanglement on disintegration of empirical systems (2020)

Arsham Ghavasieh et al.

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Degree difference: A simple measure to characterize structural heterogeneity in complex networks (2020)

Amirhossein Farzam et al.

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

Jin-Fu Chen et al.

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Belief propagation for networks with loops (2020)

Alec Kirkley and George T. Cantwell and M. E. J. Newman

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Random walks and community detection in hypergraphs (2020)

Timoteo Carletti and Duccio Fanelli and Renaud Lambiotte

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Causal motifs and existence of endogenous cascades in directed networks with application to company defaults (2020)

Irena Barja\v{s}i\'c et al.

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An algorithm for network community structure determination by surprise (2020)

Daniel Gamermann et al.

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Resolution limit revisited: community detection using generalized modularity density (2020)

Jiahao Guo et al.

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

Deep Nath et al.

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Network clique cover approximation to analyze complex contagions through group interactions (2021)

Giulio Burgio et al.

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Detecting Hidden Layers from Spreading Dynamics on Complex Networks (2021)

{\L}ukasz G. Gajewski et al.

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Entropic Dynamics of Networks (2021)

Felipe Xavier Costa et al.

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Exact epidemic models from a tensor product formulation (2021)

Wout Merbis

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Nishimori meets Bethe: a spectral method for node classification in sparse weighted graphs (2021)

Lorenzo Dall'Amico et al.

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The Physics of Financial Networks (2021)

Marco Bardoscia et al.

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

Christopher A. Browne et al.

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Epidemic Spreading and Digital Contact Tracing: Effects of Heterogeneous Mixing and Quarantine Failures (2021)

Abbas K. Rizi et al.

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Influence of individual nodes for continuous-time Susceptible-Infected-Susceptible dynamics on synthetic and real-world networks (2021)

Alfredo De Bellis et al.

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Connectivity of 1d random geometric graphs (2021)

Alexander P. Kartun-Giles et al.

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Clarifying How Degree Entropies and Degree-Degree Correlations Relate to Network Robustness (2021)

Chris Jones and Karoline Wiesner

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How does homophily shape the topology of a dynamic network? (2021)

Xiang Li et al.

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Directed Percolation in Temporal Networks (2021)

Arash Badie-Modiri et al.

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Generating functions for message-passing on weighted networks: directed bond percolation and SIR epidemics (2021)

Christoph Widder and Tanja Schilling

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Effects of homophily and heterophily on preferred-degree networks: mean-field analysis and overwhelming transition (2021)

Xiang Li et al.

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

Wout Merbis and Ivano Lodato

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Exact and Approximate Mean First Passage Times on Trees and other Necklace Structures: a Local Equilibrium Approach (2021)

Yanik-Pascal F\"orster et al.

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Dynamics of hot random hyperbolic graphs (2021)

Fragkiskos Papadopoulos et al.

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Directed Percolation in Random Temporal Network Models with Heterogeneities (2021)

Arash Badie-Modiri et al.

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A Bayesian generative neural network framework for epidemic inference problems (2021)

Indaco Biazzo et al.

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Refinement for community structures of bipartite networks (2021)

Sang Hoon Lee

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Mesoscale properties of mutualistic networks in ecosystems (2021)

Sang Hoon Lee

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Awesome Statistical Mechanics

Key papers

Statistical Mechanics

Awesome Statistical Mechanics

Key papers