activity
20122026
most citedREGAL: Representation Learning-based Graph Alignment

257 citations · 1.2k across the 74 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.SI2018★ 5 cited

Latent Network Summarization: Bridging Network Embedding and Summarization

Di Jin, Ryan Rossi, Danai Koutra +3

Motivated by the computational and storage challenges that dense embeddings pose, we introduce the problem of latent network summarization that aims to learn a compact, latent repr…

cs.SI2018★ 17 cited

Career Transitions and Trajectories: A Case Study in Computing

Tara Safavi, Maryam Davoodi, Danai Koutra

From artificial intelligence to network security to hardware design, it is well-known that computing research drives many important technological and societal advancements. However…

cs.LG2018

t-PINE: Tensor-based Predictable and Interpretable Node Embeddings

Saba A. Al-Sayouri, Ekta Gujral, Danai Koutra +2

Graph representations have increasingly grown in popularity during the last years. Existing representation learning approaches explicitly encode network structure. Despite their go…

cs.LG2018★ 1 cited

RECS: Robust Graph Embedding Using Connection Subgraphs

Saba A. Al-Sayouri, Danai Koutra, Evangelos E. Papalexakis +1

The success of graph embeddings or node representation learning in a variety of downstream tasks, such as node classification, link prediction, and recommendation systems, has led…

cs.SI2018★ 257 cited

REGAL: Representation Learning-based Graph Alignment

Mark Heimann, Haoming Shen, Tara Safavi +1

Problems involving multiple networks are prevalent in many scientific and other domains. In particular, network alignment, or the task of identifying corresponding nodes in differe…