6 citations · 12 across the 7 of their papers we have counts for
7 papers
Many Needles in a Haystack: Active Hit Discovery for Perturbation Experiments
Andrea Rubbi, Arpit Merchant, Samuel Ogden +4
High-throughput gene perturbation experiments can test several genetic interventions in parallel, yet experimental budgets remain limited. A central goal is hit discovery: identify…
Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification
Arpit Merchant, Carlos Castillo
Graph neural networks (GNNs) are increasingly used in critical human applications for predicting node labels in attributed graphs. Their ability to aggregate features from nodes' n…
Spectral Normalized-Cut Graph Partitioning with Fairness Constraints
Jia Li, Yanhao Wang, Arpit Merchant
Normalized-cut graph partitioning aims to divide the set of nodes in a graph into disjoint clusters to minimize the fraction of the total edges between any cluster and all othe…
Graph Summarization via Node Grouping: A Spectral Algorithm
Arpit Merchant, Michael Mathioudakis, Yanhao Wang
Graph summarization via node grouping is a popular method to build concise graph representations by grouping nodes from the original graph into supernodes and encoding edges into s…
Joint Use of Node Attributes and Proximity for Semi-Supervised Classification on Graphs
Arpit Merchant, Michael Mathioudakis
The task of node classification is to infer unknown node labels, given the labels for some of the nodes along with the network structure and other node attributes. Typically, appro…
Iterative Classroom Teaching
Teresa Yeo, Parameswaran Kamalaruban, Adish Singla +5
We consider the machine teaching problem in a classroom-like setting wherein the teacher has to deliver the same examples to a diverse group of students. Their diversity stems from…
Fake News Detection in Social Networks via Crowd Signals
Sebastian Tschiatschek, Adish Singla, Manuel Gomez Rodriguez +2
Our work considers leveraging crowd signals for detecting fake news and is motivated by tools recently introduced by Facebook that enable users to flag fake news. By aggregating us…