27 citations · 42 across the 5 of their papers we have counts for
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cs.SI2018
EXTRA: Explaining Team Recommendation in Networks
Qinghai Zhou, Liangyue Li, Nan Cao +2
State-of-the-art in network science of teams offers effective recommendation methods to answer questions like who is the best replacement, what is the best team expansion strategy,…
cs.SI2018
Local Partition in Rich Graphs
Scott Freitas, Hanghang Tong, Nan Cao +1
Local graph partitioning is a key graph mining tool that allows researchers to identify small groups of interrelated nodes (e.g. people) and their connective edges (e.g. interactio…
cs.SI2018
AURORA: Auditing PageRank on Large Graphs
Jian Kang, Meijia Wang, Nan Cao +3
Ranking on large-scale graphs plays a fundamental role in many high-impact application domains, ranging from information retrieval, recommender systems, sports team management, bio…