-
Parallel Algorithms for Densest Subgraph Discovery Using Shared Memory Model
The problem of finding dense components of a graph is a widely explored ...
02/27/2021 ∙ by B. D. M. De Zoysa, et al. ∙
0
∙
share
read it
-
Mapping Network States Using Connectivity Queries
Can we infer all the failed components of an infrastructure network, giv...
12/07/2020 ∙ by Alexander Rodriguez, et al. ∙
4
∙
share
read it
-
PAC-Learning for Strategic Classification
Machine learning (ML) algorithms may be susceptible to being gamed by in...
12/06/2020 ∙ by Ravi Sundaram, et al. ∙
0
∙
share
read it
-
SubGraph2Vec: Highly-Vectorized Tree-likeSubgraph Counting
Subgraph counting aims to count occurrences of a template T in a given n...
09/23/2020 ∙ by Langshi Chen, et al. ∙
0
∙
share
read it
-
Models for COVID-19 Pandemic: A Comparative Analysis
COVID-19 pandemic represents an unprecedented global health crisis in th...
09/21/2020 ∙ by Aniruddha Adiga, et al. ∙
0
∙
share
read it
-
Approximation Algorithms for Radius-Based, Two-Stage Stochastic Clustering Problems with Budget Constraints
The main focus of this paper is radius-based clustering problems in the ...
08/07/2020 ∙ by Brian Brubach, et al. ∙
0
∙
share
read it
-
Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for Explainability
Improving the explainability of the results from machine learning method...
02/06/2020 ∙ by Prathyush Sambaturu, et al. ∙
0
∙
share
read it
-
A GraphBLAS Approach for Subgraph Counting
Subgraph counting aims to count the occurrences of a subgraph template T...
03/11/2019 ∙ by Langshi Chen, et al. ∙
0
∙
share
read it
-
High-Performance Massive Subgraph Counting using Pipelined Adaptive-Group Communication
Subgraph counting aims to count the number of occurrences of a subgraph ...
04/25/2018 ∙ by Langshi Chen, et al. ∙
0
∙
share
read it
