GraphFrames is a package for Apache Spark which provides DataFrame-based Graphs

Analyzing Complex Networks with Python

A proof-of-concept library for motif analysis using MDL techniques.

A C# implementation of Motif-Centric Network Motif Discovery Algorithms

Motif analysis in gene regulatory networks

Jointly model motif influence and node survival for predicting cascade dynamics

Tools for counting higher-order motifs in hypergraphs

Quantifying distribution of network motifs of pruned neural networks trained to model insect flight.

A tool for detecting, analyzing, and visualizing network motifs

Mathematical modeling of habituation in simple molecular networks.

Bio-inspired neural architectures robust to device mismatch

Network motifs analysis (triadic patterns) and David's hierarchy score in a dominance interactions network.

Directed-network framework for S&P 500 crisis regimes: A-DCC GARCH, Graphical Lasso, a lead/follower cascade, network-topology metrics, and a composite Network Stress Index across twenty 1985-2024 regimes.