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researcher

Xing Xie

35 papers hereh-index 9445k citations341 works total

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

author position
  • middle author18
  • last author16

Across the 34 of 35 papers where every author was matched, so the position is known.

fields
  • cs.IR18
  • cs.CL6
  • cs.SI4
  • cs.LG2
  • stat.ML2
  • cs.AI1
same name
  • Xing Xie — 30 papers, h 24
  • Xing Xie — 21 papers, h 18
  • Xing Xie — 21 papers, h 7
  • Xing Xie — 21 papers, h 15
  • Xing Xie — 18 papers, h 10
  • Xing Xie — 16 papers, h 17

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
20122021
most citedSession-based Recommendation with Graph Neural Networks

1.5k citations · 6.3k across the 35 of their papers we have counts for

collaborators
Showing cs.SIShow all

4 papers · 1 filter

cs.SI2021

Multi-Stage Network Embedding for Exploring Heterogeneous Edges

Hong Huang, Yu Song, Fanghua Ye +3

The relationships between objects in a network are typically diverse and complex, leading to the heterogeneous edges with different semantic information. In this paper, we focus on…

cs.SI2020★ 2 cited

Fake News Detection through Graph Comment Advanced Learning

Hao Liao, Qixin Liu, Kai Shu +1

Disinformation has long been regarded as a severe social problem, where fake news is one of the most representative issues. What is worse, today's highly developed social media mak…

cs.SI2018

Social media and mobility landscape: uncovering spatial patterns of urban human mobility with multi source data

Yilan Cui, Xing Xie, Yi Liu

In this paper, we present a three-step methodological framework, including location identification, bias modification, and out-of-sample validation, so as to promote human mobility…

cs.SI2017

Mining Shopping Patterns for Divergent Urban Regions by Incorporating Mobility Data

Tianran Hu, Ruihua Song, Yingzi Wang +2

What people buy is an important aspect or view of lifestyles. Studying people's shopping patterns in different urban regions can not only provide valuable information for various c…

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