98 citations · 370 across the 39 of their papers we have counts for
44 papers
From Network Inequality to Network Fairness: A Perspective on Responsible Decision-Making
Lisette Espín-Noboa, Tina Eliassi-Rad, Pak-Hang Wong +5
Social networks shape how individuals make decisions and how opportunities are distributed. However, the mechanisms that generate these networks often reflect pre-existing inequali…
GRASP: Accelerating Shortest Path Attacks via Graph Attention
Zohair Shafi, Benjamin A. Miller, Ayan Chatterjee +2
Recent advances in machine learning (ML) have shown promise in aiding and accelerating classical combinatorial optimization algorithms. ML-based speed ups that aim to learn in an e…
Graph-SCP: Accelerating Set Cover Problems with Graph Neural Networks
Zohair Shafi, Benjamin A. Miller, Tina Eliassi-Rad +1
Machine learning (ML) approaches are increasingly being used to accelerate combinatorial optimization (CO) problems. We investigate the Set Cover Problem (SCP) and propose Graph-SC…
Complex Network Effects on the Robustness of Graph Convolutional Networks
Benjamin A. Miller, Kevin Chan, Tina Eliassi-Rad
Vertex classification -- the problem of identifying the class labels of nodes in a graph -- has applicability in a wide variety of domains. Examples include classifying subject are…
Using Overlapping Methods to Counter Adversaries in Community Detection
Benjamin A. Miller, Kevin Chan, Tina Eliassi-Rad
When dealing with large graphs, community detection is a useful data triage tool that can identify subsets of the network that a data analyst should investigate. In an adversarial…
Disentangling Node Attributes from Graph Topology for Improved Generalizability in Link Prediction
Ayan Chatterjee, Robin Walters, Giulia Menichetti +1
Link prediction is a crucial task in graph machine learning with diverse applications. We explore the interplay between node attributes and graph topology and demonstrate that inco…