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Tianyi Chen

5 papers hereh-index 7347 citations12 works total

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

author position
  • first author4
  • middle author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.SI4
  • math.ST1
same name
  • Tianyi Chen — 19 papers, h 33
  • Tianyi Chen — 11 papers, h 6
  • Tianyi Chen — 7 papers, h 5
  • Tianyi Chen — 7 papers, h 5
  • Tianyi Chen — 6 papers, h 3
  • Tianyi Chen — 6 papers, h 4

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
20222026
most citedDensest Diverse Subgraphs: How to Plan a Successful Cocktail Party with Diversity

14 citations · 14 across the 5 of their papers we have counts for

collaborators
Showing cs.SIShow all

4 papers · 1 filter

cs.SI2024

Parallel Motif-Based Community Detection

Tianyi Chen, Charalampos E. Tsourakakis

Community detection is a central task in graph analytics. Given the substantial growth in graph size, scalability in community detection continues to be an unresolved challenge. Re…

cs.SI2024

Q-DISCO: Query-Centric Densest Subgraphs in Networks with Opinion Information

Tianyi Chen, Atsushi Miyauchi, Charalampos E. Tsourakakis

Given a network G=(V,E), where each node v is associated with a vector pv​∈Rd representing its opinion about d different topics, how can we uncov…

cs.SI2023★ 14 cited

Densest Diverse Subgraphs: How to Plan a Successful Cocktail Party with Diversity

Atsushi Miyauchi, Tianyi Chen, Konstantinos Sotiropoulos +1

Dense subgraph discovery methods are routinely used in a variety of applications including the identification of a team of skilled individuals for collaboration from a social netwo…

cs.SI2022

AntiBenford Subgraphs: Unsupervised Anomaly Detection in Financial Networks

Tianyi Chen, Charalampos E. Tsourakakis

Benford's law describes the distribution of the first digit of numbers appearing in a wide variety of numerical data, including tax records, and election outcomes, and has been use…

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