1 citations · 1 across the 4 of their papers we have counts for
4 papers
Scalable dynamic community detection on temporal graphs using graph neural networks
Peijie Zhong, Raul Mondragon, Richard G. Clegg
Dynamic community detection on temporal graphs seeks to identify evolving community structures while allowing node memberships to change over time. In this work, we formulate dynam…
A model for generating temporal networks with dynamic community structure guided by mutual information
Peijie Zhong, Raúl Mondragón, Richard Clegg
This paper introduces a generative model for temporal networks that jointly controls community evolution and dynamic node sets. The model represents community structure as a sequen…
Quantifying community evolution in temporal networks
Peijie Zhong, Cheick Ba, Raúl Mondragón +1
When we detect communities in temporal networks it is important to ask questions about how they change in time. Normalised Mutual Information (NMI) has been used to measure the sim…
Insights and caveats from mining local and global temporal motifs in cryptocurrency transaction networks
Naomi A. Arnold, Peijie Zhong, Cheick Tidiane Ba +5
Distributed ledger technologies have opened up a wealth of fine-grained transaction data from cryptocurrencies like Bitcoin and Ethereum. This allows research into problems like an…