26 citations · 53 across the 4 of their papers we have counts for
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cs.AI2018
ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation
Jiankai Sun, Bortik Bandyopadhyay, Armin Bashizade +3
Directed graphs have been widely used in Community Question Answering services (CQAs) to model asymmetric relationships among different types of nodes in CQA graphs, e.g., question…
cs.AI2018★ 26 cited
MILE: A Multi-Level Framework for Scalable Graph Embedding
Jiongqian Liang, Saket Gurukar, Srinivasan Parthasarathy
Recently there has been a surge of interest in designing graph embedding methods. Few, if any, can scale to a large-sized graph with millions of nodes due to both computational com…