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Kartik Sharma

7 papers hereh-index 8478 citations16 works total

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

author position
  • first author4
  • middle author3

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.SI4
  • cs.LG2
  • cs.CV1
same name
  • Kartik Sharma — 7 papers, h 4
  • Kartik Sharma — 3 papers, h 0
  • Kartik Sharma — 3 papers, h 0
  • Kartik Sharma — 2 papers, h 0
  • Kartik Sharma — 1 paper, h 3
  • Kartik Sharma — 1 paper, 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
20202023
most citedA Survey of Graph Neural Networks for Social Recommender Systems

246 citations · 290 across the 6 of their papers we have counts for

collaborators
Showing cs.SIShow all

4 papers · 1 filter

cs.SI2023★ 19 cited

Predicting Information Pathways Across Online Communities

Yiqiao Jin, Yeon-Chang Lee, Kartik Sharma +4

The problem of community-level information pathway prediction (CLIPP) aims at predicting the transmission trajectory of content across online communities. A successful solution to…

cs.SI2022★ 246 cited

A Survey of Graph Neural Networks for Social Recommender Systems

Kartik Sharma, Yeon-Chang Lee, Sivagami Nambi +4

Social recommender systems (SocialRS) simultaneously leverage the user-to-item interactions as well as the user-to-user social relations for the task of generating item recommendat…

cs.SI2022★ 1 cited

Representation Learning in Continuous-Time Dynamic Signed Networks

Kartik Sharma, Mohit Raghavendra, Yeon Chang Lee +2

Signed networks allow us to model conflicting relationships and interactions, such as friend/enemy and support/oppose. These signed interactions happen in real-time. Modeling such…

cs.SI2020

Balance Maximization in Signed Networks via Edge Deletions

Kartik Sharma, Iqra Altaf Gillani, Sourav Medya +2

In signed networks, each edge is labeled as either positive or negative. The edge sign captures the polarity of a relationship. Balance of signed networks is a well-studied propert…

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