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researcher

Vaishnavi Gupta

2 papers hereh-index 3491 citations7 works total

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedLarge Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods

59 citations · 59 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023

Non-Stochastic CDF Estimation Using Threshold Queries

Princewill Okoroafor, Vaishnavi Gupta, Robert Kleinberg +1

Estimating the empirical distribution of a scalar-valued data set is a basic and fundamental task. In this paper, we tackle the problem of estimating an empirical distribution in a…

cs.LG2021★ 59 cited

Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods

Derek Lim, Felix Hohne, Xiuyu Li +4

Many widely used datasets for graph machine learning tasks have generally been homophilous, where nodes with similar labels connect to each other. Recently, new Graph Neural Networ…

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