18 citations · 24 across the 5 of their papers we have counts for
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cs.LG2019★ 1 cited
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…
cs.LG2019
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…