33 citations · 117 across the 16 of their papers we have counts for
3 papers · 1 filter
DISCO: Influence Maximization Meets Network Embedding and Deep Learning
Hui Li, Mengting Xu, Sourav S Bhowmick +3
Since its introduction in 2003, the influence maximization (IM) problem has drawn significant research attention in the literature. The aim of IM is to select a set of k users who…
Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank
Renchi Yang, Jieming Shi, Xiaokui Xiao +2
Given an input graph G and a node v in G, homogeneous network embedding (HNE) maps the graph structure in the vicinity of v to a compact, fixed-dimensional feature vector. This pap…
Efficient Estimation of Heat Kernel PageRank for Local Clustering
Renchi Yang, Xiaokui Xiao, Zhewei Wei +3
Given an undirected graph G and a seed node s, the local clustering problem aims to identify a high-quality cluster containing s in time roughly proportional to the size of the clu…