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Jie Tang

54 papers hereh-index 8227.6k citations503 works total

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

author position
  • middle author25
  • last author27

Across the 52 of 54 papers where every author was matched, so the position is known.

fields
  • cs.SI21
  • cs.CL10
  • cs.IR7
  • cs.LG6
  • cs.AI3
  • cs.DL3
same name
  • Jie Tang — 32 papers, h 31
  • Jie Tang — 23 papers, h 20
  • Jie Tang — 23 papers, h 21
  • Jie Tang — 23 papers, h 16
  • Jie Tang — 21 papers, h 13
  • Jie Tang — 19 papers, h 52

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
20112023
most citedGCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

787 citations · 3.8k across the 54 of their papers we have counts for

collaborators
Showing 2014Show all

4 papers · 1 filter

q-bio.MN2014★ 1 cited

Simultaneous Optimization of Both Node and Edge Conservation in Network Alignment via WAVE

Yihan Sun, Joseph Crawford, Jie Tang +1

Network alignment can be used to transfer functional knowledge between conserved regions of different networks. Typically, existing methods use a node cost function (NCF) to comput…

cs.SI2014★ 9 cited

Flow-based Influence Graph Visual Summarization

Lei Shi, Hanghang Tong, Jie Tang +1

Visually mining a large influence graph is appealing yet challenging. People are amazed by pictures of newscasting graph on Twitter, engaged by hidden citation networks in academic…

cs.SI2014★ 439 cited

Inferring Social Status and Rich Club Effects in Enterprise Communication Networks

Yuxiao Dong, Jie Tang, Nitesh Chawla +3

Social status, defined as the relative rank or position that an individual holds in a social hierarchy, is known to be among the most important motivating forces in social behavior…

cs.SI2014★ 3 cited

Modeling Emotion Influence from Images in Social Networks

Xiaohui Wang, Jia Jia, Lianhong Cai +1

Images become an important and prevalent way to express users' activities, opinions and emotions. In a social network, individual emotions may be influenced by others, in particula…

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