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researcher

Shu Wu

106 papers hereh-index 4413.5k citations184 works total

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

author position
  • first author3
  • middle author77
  • last author12

Across the 92 of 106 papers where every author was matched, so the position is known.

fields
  • cs.IR32
  • cs.LG32
  • cs.CL21
  • cs.AI7
  • cs.CV4
  • cs.SI4
same name
  • Shu Wu — 10 papers, h 3
  • Shu Wu — 8 papers, h 3
  • Shu Wu — 7 papers, h 2
  • Shu Wu — 5 papers, h 4
  • Shu Wu — 3 papers, h 2
  • Shu Wu — 2 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
20162026
most citedSession-based Recommendation with Graph Neural Networks

1.5k citations · 4.9k across the 104 of their papers we have counts for

collaborators
Showing cs.SIShow all

4 papers · 1 filter

cs.SI2024

Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection

Xiang Tao, Liang Wang, Qiang Liu +1

Due to the rapid spread of rumors on social media, rumor detection has become an extremely important challenge. Recently, numerous rumor detection models which utilize textual info…

cs.SI2024★ 6 cited

Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media

Jiajun Zhang, Zhixun Li, Qiang Liu +2

With the rapid development of social media, the wide dissemination of fake news on social media is increasingly threatening both individuals and society. One of the unique challeng…

cs.SI2019★ 18 cited

Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification

Fenyu Hu, Yanqiao Zhu, Shu Wu +2

Graph convolutional networks (GCNs) have been successfully applied in node classification tasks of network mining. However, most of these models based on neighborhood aggregation a…

cs.SI2016★ 7 cited

ICE: Information Credibility Evaluation on Social Media via Representation Learning

Qiang Liu, Shu Wu, Feng Yu +2

With the rapid growth of social media, rumors are also spreading widely on social media and bring harm to people's daily life. Nowadays, information credibility evaluation has draw…

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