Deep and conventional community detection related papers, implementations, datasets, and tools.
License: MIT License
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However, i found some possible error in this paper(A Comprehensive Survey on Community Detection with Deep Learning, TKDE 2021)
For example, in TABLE IX: Summary of real-world benchmark data sets, there is a data statistics as follows:
Twitter[16]. 81306 1768149 216839 4065 [68], [94], [109], [115]
but in [115](Community-Centric Graph Convolutional Network for Unsupervised Community Detection, IJCAI 2020)
the 'Twitter' dataset only have 171 nodes, maybe both datasets are from the same dataset, but I think it should be marked in the article.
Fine-grained attributed graph clustering is not based on deep learning.
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