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Sibo Wang

The Chinese University of Hong Kong

4 papers hereh-index 272.1k citations46 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.DS2
  • cs.LG1
  • cs.SI1
affiliations
  • The Chinese University of Hong Kong
HomepageORCID 0000-0003-1892-6971
same name
  • Sibo Wang — 1 paper, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedPersonalized PageRank to a Target Node, Revisited

51 citations · 144 across the 3 of their papers we have counts for

collaborators

4 papers

cs.LG2020★ 48 cited

Inductive Link Prediction for Nodes Having Only Attribute Information

Yu Hao, Xin Cao, Yixiang Fang +2

Predicting the link between two nodes is a fundamental problem for graph data analytics. In attributed graphs, both the structure and attribute information can be utilized for link…

cs.DS2020★ 51 cited

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 s and a target node t, the PPR value π(s,t) repr…

cs.SI2019

Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries

Sibo Wang, Renchi Yang, Runhui Wang +5

Given a graph G, a source node s and a target node t, the personalized PageRank (PPR) of t with respect to s is the probability that a random walk starting from s termi…

cs.DS2019★ 45 cited

PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs

Zhewei Wei, Xiaodong He, Xiaokui Xiao +4

{\it SimRank} is a classic measure of the similarities of nodes in a graph. Given a node u in graph G=(V,E), a {\em single-source SimRank query} returns the SimRank similarit…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.