51 citations · 64 across the 5 of their papers we have counts for
5 papers · 1 filter
Edge-based Local Push for Personalized PageRank
Hanzhi Wang, Zhewei Wei, Junhao Gan +3
Personalized PageRank (PPR) is a popular node proximity metric in graph mining and network research. Given a graph G=(V,E) and a source node , a single-source PPR (SSPPR)…
Dynamic Structural Clustering on Graphs
Boyu Ruan, Junhao Gan, Hao Wu +1
Structural Clustering () is one of the most popular graph clustering paradigms. In this paper, we consider under two commonly adapted similarities, namely Jaccard…
Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push
Hao Wu, Junhao Gan, Zhewei Wei +1
Personalized PageRank (PPR) is a critical measure of the importance of a node t to a source node s in a graph. The Single-Source PPR (SSPPR) query computes the PPR's of all the nod…
Personalized PageRank to a Target Node, Revisited
Hanzhi Wang, Zhewei Wei, Junhao Gan +2
Personalized PageRank (PPR) is a widely used node proximity measure in graph mining and network analysis. Given a source node and a target node , the PPR value repr…
Learning Based Distributed Tracking
Hao Wu, Junhao Gan, Rui Zhang
Inspired by the great success of machine learning in the past decade, people have been thinking about the possibility of improving the theoretical results by exploring data distrib…