Michael T. Schaub

CoRR, 2024

Graph Neural Networks Do Not Always Oversmooth.

[BibT_eX]

[DOI]

CoRR, 2024

Random Abstract Cell Complexes.

[BibT_eX]

[DOI]

Josef Hoppe

CoRR, 2024

Ellipsoidal embeddings of graphs.

[BibT_eX]

[DOI]

Michaël Fanuel

Antoine Aspeel

CoRR, 2024

Position Paper: Challenges and Opportunities in Topological Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2024

TopoX: A Suite of Python Packages for Machine Learning on Topological Domains.

[BibT_eX]

[DOI]

CoRR, 2024

Faster optimal univariate microgaggregation.

[BibT_eX]

[DOI]

Felix I. Stamm

CoRR, 2024

Position: Topological Deep Learning is the New Frontier for Relational Learning.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning From Simplicial Data Based on Random Walks and 1D Convolutions.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Wasserstein Graph Distance Based on Distributions of Probabilistic Node Embeddings.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Optimal Transport Distances for Directed, Weighted Graphs: A Case Study With Cell-Cell Communication Networks.

[BibT_eX]

[DOI]

James Shiniti Nagai

Ivan G. Costa

Proceedings of the IEEE International Conference on Acoustics, 2024

Disentangling the Spectral Properties of the Hodge Laplacian: not all small Eigenvalues are Equal.

[BibT_eX]

[DOI]

Vincent P. Grande

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

What Are Higher-Order Networks?

[BibT_eX]

[DOI]

Christian Bick

Elizabeth Gross

Heather A. Harrington

SIAM Rev., August, 2023

Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs.

[BibT_eX]

[DOI]

CoRR, 2023

ICML 2023 Topological Deep Learning Challenge : Design and Results.

[BibT_eX]

[DOI]

CoRR, 2023

Learning the effective order of a hypergraph dynamical system.

[BibT_eX]

[DOI]

CoRR, 2023

PyGenStability: Multiscale community detection with generalized Markov Stability.

[BibT_eX]

[DOI]

CoRR, 2023

Dirac signal processing of higher-order topological signals.

[BibT_eX]

[DOI]

Lucille Calmon

Karthikeyan Natesan Ramamurthy

Ginestra Bianconi

CoRR, 2023

Neighborhood Structure Configuration Models.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

ICML 2023 Topological Deep Learning Challenge: Design and Results.

[BibT_eX]

[DOI]

Alessandro Salatiello

Kalyan Varma Nadimpalli

Proceedings of the Topological, 2023

An Optimization-based Approach To Node Role Discovery in Networks: Approximating Equitable Partitions.

[BibT_eX]

[DOI]

Michael Scholkemper

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

Representing Edge Flows on Graphs via Sparse Cell Complexes.

[BibT_eX]

[DOI]

Josef Hoppe

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

Non-Isotropic Persistent Homology: Leveraging the Metric Dependency of PH.

[BibT_eX]

[DOI]

Vincent Peter Grande

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

Topological Point Cloud Clustering.

[BibT_eX]

[DOI]

Vincent Peter Grande

Proceedings of the International Conference on Machine Learning, 2023

Signal Processing On Product Spaces.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs.

[BibT_eX]

[DOI]

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Modularity Maximization for Graphons.

[BibT_eX]

[DOI]

Florian Klimm

Nick S. Jones

SIAM J. Appl. Math., December, 2022

Simplicial Convolutional Filters.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2022

Improving the visibility of minorities through network growth interventions.

[BibT_eX]

[DOI]

CoRR, 2022

On Graph Neural Network Fairness in the Presence of Heterophilous Neighborhoods.

[BibT_eX]

[DOI]

CoRR, 2022

How does Heterophily Impact the Robustness of Graph Neural Networks?: Theoretical Connections and Practical Implications.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Blind Extraction of Equitable Partitions from Graph Signals.

[BibT_eX]

[DOI]

Michael Scholkemper

Proceedings of the IEEE International Conference on Acoustics, 2022

Signal Processing On Cell Complexes.

[BibT_eX]

[DOI]

Mustafa Hajij

Proceedings of the IEEE International Conference on Acoustics, 2022

Hodgelets: Localized Spectral Representations of Flows On Simplicial Complexes.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Higher-order signal processing with the Dirac operator.

[BibT_eX]

[DOI]

Lucille Calmon

Ginestra Bianconi

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

CrossTalkeR: analysis and visualization of ligand-receptorne tworks.

[BibT_eX]

[DOI]

Bioinform., November, 2021

Signal processing on higher-order networks: Livin' on the edge... and beyond.

[BibT_eX]

[DOI]

Yu Zhu

Jean-Baptiste Seby

Signal Process., 2021

Consensus dynamics on temporal hypergraphs.

[BibT_eX]

[DOI]

Leonie Neuhäuser

CoRR, 2021

Improving Robustness of Graph Neural Networks with Heterophily-Inspired Designs.

[BibT_eX]

[DOI]

CoRR, 2021

Signal processing on simplicial complexes.

[BibT_eX]

[DOI]

Jean-Baptiste Seby

Yu Zhu

CoRR, 2021

Local, global and scale-dependent node roles.

[BibT_eX]

[DOI]

Michael Scholkemper

CoRR, 2021

Consensus Dynamics and Opinion Formation on Hypergraphs.

[BibT_eX]

[DOI]

Leonie Neuhäuser

CoRR, 2021

Modularity maximisation for graphons.

[BibT_eX]

[DOI]

Florian Klimm

Nick S. Jones

CoRR, 2021

Simulating systematic bias in attributed social networks and its effect on rankings of minority nodes.

[BibT_eX]

[DOI]

Appl. Netw. Sci., 2021

Finite Impulse Response Filters for Simplicial Complexes.

[BibT_eX]

[DOI]

Proceedings of the 29th European Signal Processing Conference, 2021

Outlier Detection for Trajectories via Flow-embeddings.

[BibT_eX]

[DOI]

Jean-Baptiste Seby

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Exact Blind Community Detection From Signals on Multiple Graphs.

[BibT_eX]

[DOI]

Hoi-To Wai

IEEE Trans. Signal Process., 2020

Network Inference From Consensus Dynamics With Unknown Parameters.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2020

Centrality Measures for Graphons: Accounting for Uncertainty in Networks.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2020

Blind Identification of Stochastic Block Models from Dynamical Observations.

[BibT_eX]

[DOI]

John N. Tsitsiklis

SIAM J. Math. Data Sci., 2020

Random Walks on Simplicial Complexes and the Normalized Hodge 1-Laplacian.

[BibT_eX]

[DOI]

SIAM Rev., 2020

Systematic edge uncertainty in attributed social networks and its effects on rankings of minority nodes.

[BibT_eX]

[DOI]

CoRR, 2020

Detectability of hierarchical communities in networks.

[BibT_eX]

[DOI]

Leto Peel

CoRR, 2020

Hierarchical community structure in networks.

[BibT_eX]

[DOI]

Leto Peel

CoRR, 2020

Opinion Dynamics with Multi-body Interactions.

[BibT_eX]

[DOI]

Proceedings of the Network Games, Control and Optimization - 10th International Conference, 2020

2019

Graph-based Semi-Supervised & Active Learning for Edge Flows.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Spectral Partitioning of Time-varying Networks with Unobserved Edges.

[BibT_eX]

[DOI]

Hoi-To Wai

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Simplicial closure and higher-order link prediction.

[BibT_eX]

[DOI]

Proc. Natl. Acad. Sci. USA, 2018

Feedforward architectures driven by inhibitory interactions.

[BibT_eX]

[DOI]

J. Comput. Neurosci., 2018

Random Walks on Simplicial Complexes and the normalized Hodge Laplacian.

[BibT_eX]

[DOI]

CoRR, 2018

Structured networks and coarse-grained descriptions: a dynamical perspective.

[BibT_eX]

[DOI]

CoRR, 2018

Multiscale dynamical embeddings of complex networks.

[BibT_eX]

[DOI]

CoRR, 2018

Entrograms and coarse graining of dynamics on complex networks.

[BibT_eX]

[DOI]

Mauro Faccin

J. Complex Networks, 2018

Random multi-hopper model: super-fast random walks on graphs.

[BibT_eX]

[DOI]

Ernesto Estrada

J. Complex Networks, 2018

Flow Smoothing and Denoising: Graph Signal Processing in the Edge-Space.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017

Sparse Matrix Factorizations for Fast Linear Solvers with Application to Laplacian Systems.

[BibT_eX]

[DOI]

Maguy Trefois

Paul Van Dooren

SIAM J. Matrix Anal. Appl., 2017

Different approaches to community detection.

[BibT_eX]

[DOI]

Martin Rosvall

CoRR, 2017

Centrality measures for graphons.

[BibT_eX]

[DOI]

CoRR, 2017

The many facets of community detection in complex networks.

[BibT_eX]

[DOI]

Martin Rosvall

Appl. Netw. Sci., 2017

Network inference from consensus dynamics.

[BibT_eX]

[DOI]

Ali Jadbabaie

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Flow-Based Network Analysis of the Caenorhabditis elegans Connectome.

[BibT_eX]

[DOI]

Karol A. Bacik

Mariano Beguerisse-Díaz

PLoS Comput. Biol., 2016

Graph partitions and cluster synchronization in networks of oscillators.

[BibT_eX]

[DOI]

Neave O'Clery

CoRR, 2016

Using higher-order Markov models to reveal flow-based communities in networks.

[BibT_eX]

[DOI]

Vsevolod Salnikov

CoRR, 2016

2015

Emergence of Slow-Switching Assemblies in Structured Neuronal Networks.

[BibT_eX]

[DOI]

Costas A. Anastassiou

Christof Koch

PLoS Comput. Biol., 2015

2014

Structure of complex networks: Quantifying edge-to-edge relations by failure-induced flow redistribution.

[BibT_eX]

[DOI]

Netw. Sci., 2014

2013

The stability of a graph partition: A dynamics-based framework for community detection.

[BibT_eX]

[DOI]

Sophia N. Yaliraki

CoRR, 2013

2012

The Ising decoder: reading out the activity of large neural ensembles.

[BibT_eX]

[DOI]

Simon R. Schultz

J. Comput. Neurosci., 2012

2011

Coding of Markov dynamics for multiscale community detection in complex networks

[BibT_eX]

[DOI]

CoRR, 2011

Markov dynamics as a zooming lens for multiscale community detection: non clique-like communities and the field-of-view limit

[BibT_eX]

[DOI]

Sophia N. Yaliraki