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researcher

Shirui Pan

Monash University

46 papers hereh-index 6635k citations214 works total

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

author position
  • first author2
  • middle author28
  • last author10

Across the 40 of 46 papers where every author was matched, so the position is known.

fields
  • cs.LG27
  • cs.CL5
  • cs.SI5
  • cs.AI4
  • cs.CV2
  • cs.CR1
affiliations
  • Monash University
same name
  • Shirui Pan — 25 papers, h 14
  • Shirui Pan — 19 papers, h 28
  • Shirui Pan — 12 papers, h 8
  • Shirui Pan — 12 papers, h 6
  • Shirui Pan — 11 papers, h 6
  • Shirui Pan — 10 papers, 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

activity
20172023
most citedAnomaly Detection in Dynamic Graphs via Transformer

126 citations · 749 across the 27 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2023

ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning

Linhao Luo, Jiaxin Ju, Bo Xiong +3

Logical rules are essential for uncovering the logical connections between relations, which could improve reasoning performance and provide interpretable results on knowledge graph…

cs.AI2023★ 1 cited

Shrinking Embeddings for Hyper-Relational Knowledge Graphs

Bo Xiong, Mojtaba Nayyer, Shirui Pan +1

Link prediction on knowledge graphs (KGs) has been extensively studied on binary relational KGs, wherein each fact is represented by a triple. A significant amount of important kno…

cs.AI2023★ 5 cited

Toward the Automated Construction of Probabilistic Knowledge Graphs for the Maritime Domain

Fatemeh Shiri, Teresa Wang, Shirui Pan +5

International maritime crime is becoming increasingly sophisticated, often associated with wider criminal networks. Detecting maritime threats by means of fusing data purely relate…

cs.AI2023★ 3 cited

Geometric Relational Embeddings: A Survey

Bo Xiong, Mojtaba Nayyeri, Ming Jin +4

Geometric relational embeddings map relational data as geometric objects that combine vector information suitable for machine learning and structured/relational information for str…

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