◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Kai Wang

3 papers here

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

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.SI2
  • cs.DB1
same name
  • Kai Wang — 14 papers, h 24
  • Kai Wang — 10 papers
  • Kai Wang — 9 papers
  • Kai Wang — 7 papers
  • Kai Wang — 6 papers
  • Kai Wang — 6 papers

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 citedEfficient Bitruss Decomposition for Large-scale Bipartite Graphs

4 citations · 5 across the 2 of their papers we have counts for

collaborators

3 papers

cs.SI2020★ 1 cited

Exploring Cohesive Subgraphs with Vertex Engagement and Tie Strength in Bipartite Graphs

Yizhang He, Kai Wang, Wenjie Zhang +2

We propose a novel cohesive subgraph model called τ-strengthened (α,β)-core (denoted as (α,β)τ​-core), which is the first to consider both tie strength and vertex engagement…

cs.DB2020★ 4 cited

Efficient Bitruss Decomposition for Large-scale Bipartite Graphs

Kai Wang, Xuemin Lin, Lu Qin +2

Cohesive subgraph mining in bipartite graphs becomes a popular research topic recently. An important structure k-bitruss is the maximal cohesive subgraph where each edge is contain…

cs.SI2018

Efficient Butterfly Counting for Large Bipartite Networks

Kai Wang, Xuemin Lin, Lu Qin +2

Bipartite networks are of great importance in many real-world applications. In bipartite networks, butterfly (i.e., a complete 2 x 2 biclique) is the smallest non-trivial cohesive…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.