A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).
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Updated
Nov 6, 2022 - Python
A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).
This repository contains the resources on graph neural network (GNN) considering heterophily.
NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN framework
Inequalities in Homophilic Directed ScaleFree Networks
The source code for "Balanced Multi-Relational Graph Clustering" (BMGC) (Accepted by ACM International Conference on Multimedia)
[TNNLS] The source code for "When Heterophily Meets Heterogeneous Graphs: Latent Graphs Guided Unsupervised Representation Learning" (LatGRL)
Repository of the netin package to generate random scale-free graph generators proposed by members of the Network Inequality CSH group.
Segregation and homophily measurement in social networks
Analysis of London street gang network
Code for GBK-GNN (paper accepted by WWW2022)
Homophily on Human Interaction via. Stochastic Block Model network representing the likelihood of gathering of homophily people contributing to human connection with common likeliness by social status.
Influence and similarity in social networks: a study of the opinion dynamics among teenagers through an Agent-Based Model
WoMG: Word of Mouth Generator
Supplementary code for the paper 'Dynamic Rescaling for Training GNNs' to be published at NeurIPS 2024
PodScape is a social network analysis project that studies the interaction landscape of Bluesky accounts associated with five sociopolitical podcasts. It explores how status and homophily shape the structure of connections, influence dynamics, and ideological clustering across this emerging decentralized platform
Generative model of social network formation
A network-science based approach to analysis of CS and medical academic author citation and collaboration networks
Online materials for the paper "Who gets to be good? Informal networks, performance evaluations, and emergent capability inequality in organizations"
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