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A. Saxena

24 papers hereh-index 15676 citations52 works total

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

author position
  • sole author1
  • first author15
  • middle author5
  • last author2

Across the 23 of 24 papers where every author was matched, so the position is known.

fields
  • cs.SI21
  • cs.LG3
same name
  • A. Saxena — 203 papers, h 48
  • A. Saxena — 56 papers, h 26
  • A. Saxena — 46 papers, h 17
  • A. Saxena — 19 papers, h 20
  • A. Saxena — 16 papers, h 22
  • A. Saxena — 14 papers, h 13

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
20152026
most citedA Faster Method to Estimate Closeness Centrality Ranking

14 citations · 74 across the 22 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.SI2021

A Network Science Perspective to Personalized Learning

Ralucca Gera, Akrati Saxena, D'Marie Bartolf +1

The modern educational ecosystem is not one-size fits all. Scholars are accustomed to personalization in their everyday life and expect the same from education systems. Additionall…

cs.SI2021

The Banking Transactions Dataset and its Comparative Analysis with Scale-free Networks

Akrati Saxena, Yulong Pei, Jan Veldsink +3

We construct a network of 1.6 million nodes from banking transactions of users of Rabobank. We assign two weights on each edge, which are the aggregate transferred amount and the t…

cs.SI2021

How Fair is Fairness-aware Representative Ranking and Methods for Fair Ranking

Akrati Saxena, George Fletcher, Mykola Pechenizkiy

Rankings of people and items has been highly used in selection-making, match-making, and recommendation algorithms that have been deployed on ranging of platforms from employment w…

cs.SI2021

NodeSim: Node Similarity based Network Embedding for Diverse Link Prediction

Akrati Saxena, George Fletcher, Mykola Pechenizkiy

In real-world complex networks, understanding the dynamics of their evolution has been of great interest to the scientific community. Predicting future links is an essential task o…

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