PyDCD: A Deep Learning-Based Community Detection Software in Python for Large-scale Networks
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Updated
Jan 21, 2020 - Python
PyDCD: A Deep Learning-Based Community Detection Software in Python for Large-scale Networks
The Python code for the models presented in Alizadeh, M., Cioffi-Revilla, C. and Crooks, A. (2017), Generating and Analyzing Spatial Social Networks. Computational and Mathematical Organization Theory, 23(3): 362-390.
The "Analysis of Information Networks" repository contains six exercises that explore key concepts in network analysis. From random network generation to link prediction and recommender systems, each exercise provides hands-on experience with metrics, visualizations, and real-world applications.
[Nature Communications] "Random resistive memory-based extreme point learning machine for unified visual processing."
The code and results for finding anchor nodes in different networks which reduce the APL of the network.
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