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researcher

Sibo Wang

The Chinese University of Hong Kong

11 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 author7
  • last author3

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.DB3
  • cs.DS3
  • cs.LG3
  • cs.SI2
affiliations
  • The Chinese University of Hong Kong
HomepageORCID 0000-0003-1892-6971
same name
  • Sibo Wang — 18 papers, h 7
  • Sibo Wang — 10 papers, h 6
  • Sibo Wang — 6 papers, h 3
  • Sibo Wang — 4 papers, h 2
  • Sibo Wang — 4 papers, h 6
  • Sibo Wang — 3 papers, h 2

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

activity
20132022
most citedPersonalized PageRank to a Target Node, Revisited

51 citations · 195 across the 11 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.DB2022★ 1 cited

Personalized PageRank on Evolving Graphs with an Incremental Index-Update Scheme

Guanhao Hou, Qintian Guo, Fangyuan Zhang +2

{\em Personalized PageRank (PPR)} stands as a fundamental proximity measure in graph mining. Since computing an exact SSPPR query answer is prohibitive, most existing solutions tur…

cs.DB2022

PSPC: Efficient Parallel Shortest Path Counting on Large-Scale Graphs

You Peng, Jeffrey Xu Yu, Sibo Wang

In modern graph analytics, the shortest path is a fundamental concept. Numerous \rrev{recent works} concentrate mostly on the distance of these shortest paths. Nevertheless, in the…

cs.SI2022

Finding Top-r Influential Communities under Aggregation Functions

You Peng, Song Bian, Rui Li +2

Community search is a problem that seeks cohesive and connected subgraphs in a graph that satisfy certain topology constraints, e.g., degree constraints. The majority of existing w…

cs.LG2022★ 1 cited

Instant Graph Neural Networks for Dynamic Graphs

Yanping Zheng, Hanzhi Wang, Zhewei Wei +2

Graph Neural Networks (GNNs) have been widely used for modeling graph-structured data. With the development of numerous GNN variants, recent years have witnessed groundbreaking res…

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