research
∙
09/13/2023
Optimal transport distances for directed, weighted graphs: a case study with cell-cell communication networks
Comparing graphs by means of optimal transport has recently gained signi...
share
research
∙
09/04/2023
Representing Edge Flows on Graphs via Sparse Cell Complexes
Obtaining sparse, interpretable representations of observable data is cr...
research
∙
03/29/2023
Topological Point Cloud Clustering
We present Topological Point Cloud Clustering (TPCC), a new method to cl...
research
∙
03/08/2023
PyGenStability: Multiscale community detection with generalized Markov Stability
We present PyGenStability, a general-use Python software package that pr...
research
∙
07/10/2022
On Graph Neural Network Fairness in the Presence of Heterophilous Neighborhoods
We study the task of node classification for graph neural networks (GNNs...
research
∙
01/27/2022
Simplicial Convolutional Filters
We study linear filters for processing signals supported on abstract top...
research
∙
11/25/2021
Outlier Detection for Trajectories via Flow-embeddings
We propose a method to detect outliers in empirically observed trajector...
research
∙
10/11/2021
Signal Processing on Cell Complexes
The processing of signals supported on non-Euclidean domains has attract...
research
∙
06/14/2021
Improving Robustness of Graph Neural Networks with Heterophily-Inspired Designs
Recent studies have exposed that many graph neural networks (GNNs) are s...
research
∙
06/14/2021
Signal processing on simplicial complexes
Higher-order networks have so far been considered primarily in the conte...
research
∙
05/26/2021
Local, global and scale-dependent node roles
This paper re-examines the concept of node equivalences like structural ...
research
∙
04/20/2021
What are higher-order networks?
Modeling complex systems and data using the language of graphs and netwo...
research
∙
03/23/2021
Finite Impulse Response Filters for Simplicial Complexes
In this paper, we study linear filters to process signals defined on sim...
research
∙
01/14/2021
Signal Processing on Higher-Order Networks: Livin' on the Edge ... and Beyond
This tutorial paper presents a didactic treatment of the emerging topic ...
research
∙
01/02/2021
Modularity maximisation for graphons
Networks are a widely-used tool to investigate the large-scale connectiv...
research
∙
09/16/2020
Detectability of hierarchical communities in networks
We study the problem of recovering a planted hierarchy of partitions in ...
research
∙
09/15/2020
Hierarchical community structure in networks
Modular and hierarchical structures are pervasive in real-world complex ...
research
∙
05/22/2019
Blind identification of stochastic block models from dynamical observations
We consider a blind identification problem in which we aim to recover a ...
research
∙
05/17/2019
Graph-based Semi-Supervised & Active Learning for Edge Flows
We present a graph-based semi-supervised learning (SSL) method for learn...
research
∙
04/26/2019
Spectral partitioning of time-varying networks with unobserved edges
We discuss a variant of `blind' community detection, in which we aim to ...
research
∙
08/06/2018
Flow Smoothing and Denoising: Graph Signal Processing in the Edge-Space
This paper focuses on devising graph signal processing tools for the tre...
research
∙
07/13/2018
Random Walks on Simplicial Complexes and the normalized Hodge Laplacian
Modeling complex systems and data with graphs has been a mainstay of the...
research
∙
04/17/2018
Structured networks and coarse-grained descriptions: a dynamical perspective
This chapter discusses the interplay between structure and dynamics in c...
research
∙
02/20/2018
Simplicial Closure and Higher-order Link Prediction
Networks provide a powerful formalism for modeling complex systems, by r...
research
∙
07/28/2017
