activity
20092023
most citedHyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs

203 citations · 288 across the 21 of their papers we have counts for

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Showing cs.DSShow all

18 papers · 1 filter

cs.DS2022★ 3 cited

Online Algorithms for Matchings with Proportional Fairness Constraints and Diversity Constraints

Anand Louis, Meghana Nasre, Prajakta Nimbhorkar +1

Matching problems with group-fairness constraints and diversity constraints have numerous applications such as in allocation problems, committee selection, school choice, etc. More…

cs.DS2022

Approximating CSPs with Outliers

Suprovat Ghoshal, Anand Louis

Constraint satisfaction problems (CSPs) are ubiquitous in theoretical computer science. We study the problem of StrongCSPs, i.e. instances where a large induced sub-instance has a…

cs.DS2022

Exact recovery algorithm for Planted Bipartite Graph in Semi-random Graphs

Akash Kumar, Anand Louis, Rameesh Paul

The problem of finding the largest induced balanced bipartite subgraph in a given graph is NP-hard. This problem is closely related to the problem of finding the smallest Odd Cycle…

cs.DS2021

Matchings with Group Fairness Constraints: Online and Offline Algorithms

Govind S. Sankar, Anand Louis, Meghana Nasre +1

We consider the problem of assigning items to platforms in the presence of group fairness constraints. In the input, each item belongs to certain categories, called classes in this…

cs.DS2021

Independent Sets in Semi-random Hypergraphs

Yash Khanna, Anand Louis, Rameesh Paul

A set of vertices in a hypergraph is called an independent set if no hyperedge is completely contained inside the set. Given a hypergraph, computing its largest size independent se…

cs.DS2020

Group Fairness for Knapsack Problems

Deval Patel, Arindam Khan, Anand Louis

We study the knapsack problem with group fairness constraints. The input of the problem consists of a knapsack of bounded capacity and a set of items, each item belongs to a partic…

cs.DS2020

Approximation Algorithms and Hardness for Strong Unique Games

Suprovat Ghoshal, Anand Louis

The UNIQUE GAMES problem is a central problem in algorithms and complexity theory. Given an instance of UNIQUE GAMES, the STRONG UNIQUE GAMES problem asks to find the largest subse…

cs.DS2020

Planted Models for the Densest -Subgraph Problem

Yash Khanna, Anand Louis

Given an undirected graph , the Densest -subgraph problem (DkS) asks to compute a set of cardinality such that the weight of…

cs.DS2019

Planted Models for -way Edge and Vertex Expansion

Anand Louis, Rakesh Venkat

Graph partitioning problems are a central topic of study in algorithms and complexity theory. Edge expansion and vertex expansion, two popular graph partitioning objectives, seek a…

cs.DS2019

Approximation Algorithms for Partially Colorable Graphs

Suprovat Ghoshal, Anand Louis, Rahul Raychaudhury

Graph coloring problems are a central topic of study in the theory of algorithms. We study the problem of partially coloring partially colorable graphs. For and $k \in \m…

cs.DS2018

Semi-Random Graphs with Planted Sparse Vertex Cuts: Algorithms for Exact and Approximate Recovery

Anand Louis, Rakesh Venkat

The problem of computing the vertex expansion of a graph is an NP-hard problem. The current best worst-case approximation guarantees for computing the vertex expansion of a graph a…

cs.DS2018★ 1 cited

On Euclidean -Means Clustering with -Center Proximity

Amit Deshpande, Anand Louis, Apoorv Vikram Singh

-means clustering is NP-hard in the worst case but previous work has shown efficient algorithms assuming the optimal -means clusters are \emph{stable} under additive or multi…

cs.DS2015★ 1 cited

Accelerated Newton Iteration: Roots of Black Box Polynomials and Matrix Eigenvalues

Anand Louis, Santosh S. Vempala

We study the problem of computing the largest root of a real rooted polynomial to within error given only black box access to it, i.e., for any $x \in {\mathb…

cs.DS2014★ 14 cited

Approximation Algorithms for Hypergraph Small Set Expansion and Small Set Vertex Expansion

Anand Louis, Yury Makarychev

The expansion of a hypergraph, a natural extension of the notion of expansion in graphs, is defined as the minimum over all cuts in the hypergraph of the ratio of the number of the…

cs.DS2013★ 2 cited

Approximation Algorithm for Sparsest k-Partitioning

Anand Louis, Konstantin Makarychev

Given a graph , the sparsest-cut problem asks to find the set of vertices which has the least expansion defined as $$ϕ_G(S) := \frac{w(E(S,\bar{S}))}{\min \set{w(S), w(\bar{…

cs.DS2011★ 28 cited

Many Sparse Cuts via Higher Eigenvalues

Anand Louis, Prasad Raghavendra, Prasad Tetali +1

Cheeger's fundamental inequality states that any edge-weighted graph has a vertex subset such that its expansion (a.k.a. conductance) is bounded as follows: \[ ϕ(S) \defeq \fra…

cs.DS2010

Cut-Matching Games on Directed Graphs

Anand Louis

We give O(log^2 n)-approximation algorithm based on the cut-matching framework of [10, 13, 14] for computing the sparsest cut on directed graphs. Our algorithm uses only O(log^2 n)…

cs.DS2009★ 8 cited

Improved Algorithm for Degree Bounded Survivable Network Design Problem

Anand Louis, Nisheeth Vishnoi

We consider the Degree-Bounded Survivable Network Design Problem: the objective is to find a minimum cost subgraph satisfying the given connectivity requirements as well as the deg…