Networks beyond pairwise interactions: structure and dynamics
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Abstract (arXiv)
The complexity of many biological, social and technological systems stems from the richness of the interactions among their units. Over the past decades, a great variety of complex systems has been successfully described as networks whose interacting pairs of nodes are connected by links. Yet, in face-to-face human communication, chemical reactions and ecological systems, interactions can occur in groups of three or more nodes and cannot be simply described just in terms of simple dyads. Until recently, little attention has been devoted to the higher-order architecture of real complex systems. However, a mounting body of evidence is showing that taking the higher-order structure of these systems into account can greatly enhance our modeling capacities and help us to understand and predict their emerging dynamical behaviors. Here, we present a complete overview of the emerging field of networks beyond pairwise interactions. We first discuss the methods to represent higher-order interactions and give a unified presentation of the different frameworks used to describe higher-order systems, highlighting the links between the existing concepts and representations. We review the measures designed to characterize the structure of these systems and the models proposed in the literature to generate synthetic structures, such as random and growing simplicial complexes, bipartite graphs and hypergraphs. We introduce and discuss the rapidly growing research on higher-order dynamical systems and on dynamical topology. We focus on novel emergent phenomena characterizing landmark dynamical processes, such as diffusion, spreading, synchronization and games, when extended beyond pairwise interactions. We elucidate the relations between higher-order topology and dynamical properties, and conclude with a summary of empirical applications, providing an outlook on current modeling and conceptual frontiers.
Key facts. Cited by 127 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Jun 2020.
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Citing papers per year: 2021: 20; 2022: 10; 2023: 26; 2024: 19; 2025: 22; 2026: 30.
127 papers.
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- 2021Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networkscited by 219
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- 2024A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guidecited by 22
- 2021Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networkscited by 18
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- 2026Modeling Higher-Order Brain Interactions via a Multi-View Information Bottleneck Framework for fMRI-based Psychiatric Diagnosiscited by 3
50 most cited of 127 All 127 (JSON)
- 2026Higher-Order Molecular Grammars for Generative and Foundation Models in Chemistry1 Oct 2026
- 2026Higher-Order Positional Encodings for Graph Representation Learning1 Oct 2026
- 2026Cardinality-Stratified Interaction Decomposition for Interpretable Pairwise and Higher-Order Structure in Transactional Basket Data28 Sep 2026
- 2026T-SNN: Temporal Simplicial Neural Network for EEG Decoding27 Sep 2026
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- 2026Beyond Arbitrary Geometry: Topology Generalization In neural PDE Operators5 Sep 2026
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- 2026Beyond Pairwise Graphs in Science: Hypergraph Adaptive Wavelet Operators for Parametric PDEs28 Aug 2026
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- 2025HWL-HIN: A Hypergraph-Level Hypergraph Isomorphism Network as Powerful as the Hypergraph Weisfeiler-Lehman Test with Application to Higher-Order Network Robustness26 Dec 2025
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- 2025Node Classification via Simplicial Interaction with Augmented Maximal Clique Selection28 Sep 2025
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- 2025DCHO: A Decomposition-Composition Framework for Predicting Higher-Order Brain Connectivity to Enhance Diverse Downstream Applications27 Aug 2025
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- 2025Broad Spectrum Structure Discovery in Large-Scale Higher-Order Networks27 May 2025
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- 2025MARIOH: Multiplicity-Aware Hypergraph Reconstruction1 Apr 2025
- 2025Efficient Sparsification of Simplicial Complexes via Local Densities of States11 Feb 2025
50 newest of 127 All 127 (JSON)
- 2021Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networkscited by 219
- 2024Position: Graph Foundation Models are Already Herecited by 84
- 2024Position: Topological Deep Learning is the New Frontier for Relational Learningcited by 65
- 2023Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunitiescited by 60
- 2021Generative hypergraph clustering: from blockmodels to modularitycited by 48
- 2022Equivariant Hypergraph Diffusion Neural Operatorscited by 45
- 2023Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networkscited by 43
- 2021Signal Processing on Cell Complexescited by 31
- 2022High-Order Pooling for Graph Neural Networks with Tensor Decompositioncited by 24
- 2022Heterogeneous manifolds for curvature-aware graph embeddingcited by 23
- 2024A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guidecited by 22
- 2021Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networkscited by 18
12 most cited of 126 All 126 (JSON)
- 2026Higher-Order Molecular Grammars for Generative and Foundation Models in Chemistry1 Oct 2026
- 2026Higher-Order Positional Encodings for Graph Representation Learning1 Oct 2026
- 2026Cardinality-Stratified Interaction Decomposition for Interpretable Pairwise and Higher-Order Structure in Transactional Basket Data28 Sep 2026
- 2026T-SNN: Temporal Simplicial Neural Network for EEG Decoding27 Sep 2026
- 2026Topological Signal Processing With Unoriented Operators21 Sep 2026
- 2026Toward a Unified Mathematics of Concepts21 Sep 2026
- 2026Finding Common Ground: Graded Communal Knowledge in Bluesky Starter Packs17 Sep 2026
- 2026An Evolutionary Computation Framework for Multi-Agent Q-Learning with Mean-Field Environmental Feedback5 Sep 2026
- 2026Beyond Arbitrary Geometry: Topology Generalization In neural PDE Operators5 Sep 2026
- 2026Higher Structures in Deep Learning31 Aug 2026
- 2026Beyond Pairwise Graphs in Science: Hypergraph Adaptive Wavelet Operators for Parametric PDEs28 Aug 2026
- 2026Data-driven techniques for translational neuroscience and personalized neuro-health13 Aug 2026
12 newest of 126 All 126 (JSON)