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researcher

Shirui Pan

Monash University

70 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 author52
  • last author14

Across the 68 of 70 papers where every author was matched, so the position is known.

fields
  • cs.LG45
  • cs.SI7
  • cs.CL6
  • cs.AI5
  • cs.CV3
  • cs.IR2
affiliations
  • Monash University
same name
  • Shirui Pan — 31 papers, h 28
  • Shirui Pan — 28 papers, h 14
  • Shirui Pan — 12 papers, h 8
  • Shirui Pan — 12 papers, h 6
  • Shirui Pan — 11 papers, h 6
  • Shirui Pan — 11 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
20162023
most citedA Comprehensive Survey on Graph Neural Networks

10.1k citations · 17.4k across the 69 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CL2018★ 112 cited

Learning Private Neural Language Modeling with Attentive Aggregation

Shaoxiong Ji, Shirui Pan, Guodong Long +3

Mobile keyboard suggestion is typically regarded as a word-level language modeling problem. Centralized machine learning technique requires massive user data collected to train on,…

cs.SI2018

Universal Network Representation for Heterogeneous Information Networks

Ruiqi Hu, Celina Ping Yu, Sai-Fu Fung +3

Network representation aims to represent the nodes in a network as continuous and compact vectors, and has attracted much attention in recent years due to its ability to capture co…

cs.CV2018

Label Embedding with Partial Heterogeneous Contexts

Yaxin Shi, Donna Xu, Yuangang Pan +2

Label embedding plays an important role in many real-world applications. To enhance the label relatedness captured by the embeddings, multiple contexts can be adopted. However, the…

cs.LG2018★ 68 cited

Adversarially Regularized Graph Autoencoder for Graph Embedding

Shirui Pan, Ruiqi Hu, Guodong Long +3

Graph embedding is an effective method to represent graph data in a low dimensional space for graph analytics. Most existing embedding algorithms typically focus on preserving the…

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