21.7k citations · 31.6k across the 143 of their papers we have counts for
151 papers
Do Higher-Order Models Win for Higher-Order Reasons? Rethinking Performance Gains in Hypergraph Learning
Fanchen Bu, Fan Li, Geon Lee +4
Higher-order models (e.g., hypergraph neural networks) often outperform lower-order baselines on hypergraph learning benchmarks, and their advantages are commonly attributed to the…
Community-Centers Identify Robust Biomarkers in High-Dimensional, Low-Sample-Size Gene Expression Data
Ruiqi Li, Te Bai, Renaud Lambiotte +4
High-dimensional, low-sample-size bulk gene expression data poses a fundamental challenge in transcriptomics, which typically includes tens of thousands of genes but relatively few…
Inferring Temporal Dependencies from Social Time Series with the Cross-Correlogram
Bridget Smart, Renaud Lambiotte, Takaaki Aoki +1
Characterizing temporal interactions in social systems is challenging because social behavior can be bursty and non-stationary, violating the stationarity assumptions of many metho…
The nestedness of higher-order networks
Timothy LaRock, Yanting Zhang, Jean-Gabriel Young +3
In contrast to dyadic interactions, higher-order interactions may contain one another, with subgroups naturally embedded within larger groups. These containment patterns arise empi…
Parametric and structure-aware information theory for multi-scale analysis of composition
Rohit Sahasrabuddhe, Renaud Lambiotte
Compositional data is common across the natural and social sciences, requiring methods to measure the diversity of compositions and the heterogeneity of collections of them. Via Br…
Synchronization of higher-dimensional Kuramoto oscillators on networks: from scalar to matrix-weighted couplings
Anna Gallo, Renaud Lambiotte, Timoteo Carletti
The Kuramoto model is the paradigmatic model to study synchronization in coupled oscillator systems. In its classical formulation, the oscillators move on the unit circle, each cha…