465 citations · 841 across the 12 of their papers we have counts for
Showing 2016Show all
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cs.SI2016★ 229 cited
node2vec: Scalable Feature Learning for Networks
Aditya Grover, Jure Leskovec
Prediction tasks over nodes and edges in networks require careful effort in engineering features used by learning algorithms. Recent research in the broader field of representation…
cs.AI2016★ 5 cited
Contextual Symmetries in Probabilistic Graphical Models
Ankit Anand, Aditya Grover, Mausam +1
An important approach for efficient inference in probabilistic graphical models exploits symmetries among objects in the domain. Symmetric variables (states) are collapsed into met…