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[TKDD'23] Demo code of the paper entitled "Towards a Better Trade-Off between Quality and Efficiency of Community Detection: An Inductive Embedding Method across Graphs", which has been accepted by ACM TKDD
Super.Complex is a supervised machine learning algorithm for community detection in networks. It learns information from known communities and uses this information to find new communities on the network.
The implementation was done using python networkx and matplot libraries. Zachary karate club dataset is used as a benchmark dataset between the different community detection algorithms. Karate is the well-known and much-used dataset to benchmark algorithms as ground truth of it is two so if a detection algorithm is close to these two sets, then …