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End: Enhanced dedensification for graph compressing and embedding
Graph representation learning is essential in applying machine learning methods on large-
scale networks. Several embedding approaches have shown promising outcomes in recent …
scale networks. Several embedding approaches have shown promising outcomes in recent …
A top-r k influential community search algorithm
W Chen, J Liu, Z Chen, J Chen - International Journal of …, 2018 - ijpe-online.com
Top-rk influential community search is one of the hot topics in social network research, the
solution of which usually adapts the “index+ query” strategy. Aiming at the problems of low …
solution of which usually adapts the “index+ query” strategy. Aiming at the problems of low …
Community search from multi-attributed large social graph
RI Khan, SM Khan, T Debnath, MN Islam, MI Kayes - 2021 - dspace.bracu.ac.bd
With the constant evolvement of social network structure, complex data, as well as graph
structure, has been growing with increasing importance to model the interconnection of …
structure, has been growing with increasing importance to model the interconnection of …