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researcher

Meghna Lowalekar

5 papers hereh-index 10366 citations22 works total

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

author position
  • first author2
  • middle author3

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.AI3
  • cs.CY1
  • cs.HC1

identity via Semantic Scholar / OpenAlex

activity
20192025
most citedCLAIM: Curriculum Learning Policy for Influence Maximization in Unknown Social Networks

2 citations · 2 across the 3 of their papers we have counts for

collaborators
Showing cs.AIShow all

3 papers · 1 filter

cs.AI2021★ 2 cited

CLAIM: Curriculum Learning Policy for Influence Maximization in Unknown Social Networks

Dexun Li, Meghna Lowalekar, Pradeep Varakantham

Influence maximization is the problem of finding a small subset of nodes in a network that can maximize the diffusion of information. Recently, it has also found application in HIV…

cs.AI2020

Competitive Ratios for Online Multi-capacity Ridesharing

Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet

In multi-capacity ridesharing, multiple requests (e.g., customers, food items, parcels) with different origin and destination pairs travel in one resource. In recent years, online…

cs.AI2020

Zone pAth Construction (ZAC) based Approaches for Effective Real-Time Ridesharing

Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet

Real-time ridesharing systems such as UberPool, Lyft Line, GrabShare have become hugely popular as they reduce the costs for customers, improve per trip revenue for drivers and red…

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