dange's repositories
Modeling_complex_networks
Modeling complex networks: An implementation based on Python+NetworkX
networkx_example_code
NetworkX programming practice basic course source code
real_network_datasets
This project collects real network datasets used in published papers in the field of complex networks, and provides a simple Python code script to construct the network topology corresponding to each data. In the future, the project will continue to be updated and the number of datasets will gradually increase.
python_igraph_tutorial
python igraph tutorial
Awesome-Hyperbolic-Graph-Representation-Learning
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
igraph_basics
igraph basics
Python_Dependency_Analysis_example
Python Dependency Analysis
communicability-sequence-entropy
Communicability sequence entropy of complex networks
algs4-py
A Python library for the textbook Algorithms, 4th edition
Graph-Machine-Learning
Graph Machine Learning, published by Packt
GraphZoo
Facilitating learning, using, and designing graph processing pipelines/models systematically.
pathcensus
Python (3.8+) implementation of structural similarity and complementarity coefficients for undirected (un)weighted networks based on efficient counting of 2- and 3-paths (triples and quadruples) and 3- and 4-cycles (triangles and quadrangles).
practice-in-paddle
《神经网络与深度学习》案例与实践