Awesome physics.bio-ph

Learning noisy tissue dynamics across time scales (2025)

Ming Han et al.

1.44

Complexity of Activity Patterns in a Bio-Inspired Hopfield-Type Network in Different Topologies (2025)

Marco Cafiso and Paolo Paradisi

1.39

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling (2025)

Jonathan Karin et al.

1.28

Global graph features unveiled by unsupervised geometric deep learning (2025)

Mirja Granfors et al.

1.06

Multiplex Nodal Modularity: A novel network metric for the regional analysis of amnestic mild cognitive impairment during a working memory binding task (2025)

Avalon Campbell-Cousins et al.

0.94

Coarse Graining Molecular Dynamics with Graph Neural Networks (2020)

Brooke E. Husic et al.

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Network community structure and resilience to localized damage: application to brain microcirculation (2021)

Florian Goirand et al.

—

Learning physical properties of anomalous random walks using graph neural networks (2021)

Hippolyte Verdier (UP) et al.

—

MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph (2021)

Mengying Sun et al.

—

Dirac synchronization is rhythmic and explosive (2021)

Lucille Calmon et al.

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Structural characteristics in network control of molecular multiplex networks (2021)

Cheng Yuan et al.

—

Analysis of training and seed bias in small molecules generated with a conditional graph-based variational autoencoder -- Insights for practical AI-driven molecule generation (2021)

Seung-gu Kang et al.

—

Network Refinement: A unified framework for enhancing signal or removing noise of networks (2021)

Jiating Yu et al.

—

Quasifibrations of Graphs to Find Symmetries in Biological Networks (2021)

Paolo Boldi et al.

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Symmetry-driven network reconstruction through pseudobalanced coloring optimization (2021)

Ian Leifer et al.

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Quantum Link Prediction in Complex Networks (2021)

Jo\~ao P. Moutinho et al.

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Encoding protein dynamic information in graph representation for functional residue identification (2021)

Yuan Chiang et al.

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Variational inference of fractional Brownian motion with linear computational complexity (2022)

Hippolyte Verdier et al.

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In-Pocket 3D Graphs Enhance Ligand-Target Compatibility in Generative Small-Molecule Creation (2022)

Seung-gu Kang et al.

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Fast solver for diffusive transport times on dynamic intracellular networks (2022)

Lachlan Elam et al.

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Statistical models of complex brain networks: a maximum entropy approach (2022)

Vito Dichio and Fabrizio De Vico Fallani

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Strength of minority ties: the role of homophily and group composition in a weighted social network (2023)

Jos\'e R. Nicol\'as-Carlock et al.

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Large Scale Training of Graph Neural Networks for Optimal Markov-Chain Partitioning Using the Kemeny Constant (2023)

Sam Alexander Martino et al.

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Integrating Chemical Language and Molecular Graph in Multimodal Fused Deep Learning for Drug Property Prediction (2023)

Xiaohua Lu et al.

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Learning Dynamics from Multicellular Graphs with Deep Neural Networks (2024)

Haiqian Yang et al.

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Advances in the Simulation and Modeling of Complex Systems using Dynamical Graph Grammars (2024)

Eric Medwedeff and Eric Mjolsness

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Unveiling Cancer Stem Cell Marker Networks: A Hypergraph Approach (2024)

David H. Margarit et al.

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bioSBM: a random graph model to integrate epigenomic data in chromatin structure prediction (2024)

Alex Chen Yi Zhang et al.

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Target search on networks-within-networks with applications to protein-DNA interactions (2024)

Lucas Hedstr\"om et al.

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Enhanced Spatial Clustering of Single-Molecule Localizations with Graph Neural Networks (2024)

Jes\'us Pineda et al.

—

Awesome physics.bio-ph

Datasets & benchmarks

Key papers

physics.bio-ph

Awesome physics.bio-ph

Datasets & benchmarks

Key papers