Social network alignment aims at aligning person identities across social networks.
Embedding based models have been shown effective for the alignment where the structural …

Social networks are complex systems composed of interdependent organizations and
people with diverse network structures. Understanding network dynamics, such as …

Complex networks arise in many domains and often represent phenomena such as brain
activity, social relationships, molecular interactions, hyperlinks, and re-tweets. In this work …

The Emu Chick prototype implements migratory memory-side processing in a novel
hardware system. Rather than transferring large amounts of data across the system …

Network alignment aims at finding the correspondence of nodes across different networks,
which is significant for many applications, eg, fraud detection and crime network tracing …

Cross-network anchor link discovery is an important research problem and has many
applications in heterogeneous social network. Existing schemes of cross-network anchor …

Cross-site account correlation correlates users who have multiple accounts but the same
identity across online social networks (OSNs). Being able to identify cross-site users is …

Graphs naturally represent information ranging from links between webpages to friendships
in social networks, to connections between neurons in our brains. These graphs often span …

Social networks used for different purposes by users contain different user data. Finding
same users' accounts in different social networks and compiling the data found in a single …

Looking from a global perspective, the landscape of online social networks is highly
fragmented. A large number of online social networks have appeared, which can provide …