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Article
t-PINE: tensor-based predictable and interpretable node embeddings
Graph representations have increasingly grown in popularity during the last years. Existing representation learning approaches explicitly encode network structure. Despite their good performance in downstream ...
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Article
Reducing large graphs to small supergraphs: a unified approach
Summarizing a large graph with a much smaller graph is critical for applications like speeding up intensive graph algorithms and interactive visualization. In this paper, we propose CONditional Diversified Net...
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Article
Facebook wall posts: a model of user behaviors
How do people interact with their Facebook wall? At a high level, this question captures the essence of our work. While most prior efforts focus on Twitter, the much fewer Facebook studies focus on the friends...