124 citations · 133 across the 6 of their papers we have counts for
3 papers · 1 filter
Dynamic Graph Embedding via LSTM History Tracking
Shima Khoshraftar, Sedigheh Mahdavi, Aijun An +2
Many real world networks are very large and constantly change over time. These dynamic networks exist in various domains such as social networks, traffic networks and biological in…
Learning to Determine the Quality of News Headlines
Amin Omidvar, Hossein Poormodheji, Aijun An +1
Today, most newsreaders read the online version of news articles rather than traditional paper-based newspapers. Also, news media publishers rely heavily on the income generated fr…
Dynamic Joint Variational Graph Autoencoders
Sedigheh Mahdavi, Shima Khoshraftar, Aijun An
Learning network representations is a fundamental task for many graph applications such as link prediction, node classification, graph clustering, and graph visualization. Many rea…