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20102021
most citedEfficient Scaling of Dynamic Graph Neural Networks

34 citations · 112 across the 16 of their papers we have counts for

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cs.DS2020

Generalizations of Length Limited Huffman Coding for Hierarchical Memory Settings

Shashwat Banchhor, Rishikesh Gajjala, Yogish Sabharwal +1

In this paper, we study the problem of designing prefix-free encoding schemes having minimum average code length that can be decoded efficiently under a decode cost model that capt…

cs.DS2017

Replica Placement on Bounded Treewidth Graphs

Anshul Aggarwal, Venkatesan T. Chakaravarthy, Neelima Gupta +3

We consider the replica placement problem: given a graph with clients and nodes, place replicas on a minimum set of nodes to serve all the clients; each client is associated with a…

cs.DS2013

Distributed and Parallel Algorithms for Set Cover Problems with Small Neighborhood Covers

Archita Agarwal, Venkatesan T. Chakaravarthy, Anamitra R. Choudhury +2

In this paper, we study a class of set cover problems that satisfy a special property which we call the {\em small neighborhood cover} property. This class encompasses several well…

cs.DS2012

Scheduling Resources for Executing a Partial Set of Jobs

Venkatesan Chakaravarthy, Arindam Pal, Sambuddha Roy +1

In this paper, we consider the problem of choosing a minimum cost set of resources for executing a specified set of jobs. Each input job is an interval, determined by its start-tim…

cs.DS2012★ 1 cited

Density Functions subject to a Co-Matroid Constraint

Venkatesan T. Chakaravarthy, Natwar Modani, Sivaramakrishnan R. Natarajan +2

In this paper we consider the problem of finding the {\em densest} subset subject to {\em co-matroid constraints}. We are given a {\em monotone supermodular} set function defin…

cs.DS2012

Distributed Algorithms for Scheduling on Line and Tree Networks

Venkatesan T. Chakaravarthy, Sambuddha Roy, Yogish Sabharwal

We have a set of processors (or agents) and a set of graph networks defined over some vertex set. Each processor can access a subset of the graph networks. Each processor has a dem…