69 citations · 175 across the 40 of their papers we have counts for
5 papers · 1 filter
Task and Model Agnostic Adversarial Attack on Graph Neural Networks
Kartik Sharma, Samidha Verma, Sourav Medya +2
Adversarial attacks on Graph Neural Networks (GNNs) reveal their security vulnerabilities, limiting their adoption in safety-critical applications. However, existing attack strateg…
GREED: A Neural Framework for Learning Graph Distance Functions
Rishabh Ranjan, Siddharth Grover, Sourav Medya +3
Among various distance functions for graphs, graph and subgraph edit distances (GED and SED respectively) are two of the most popular and expressive measures. Unfortunately, exact…
Event Detection on Dynamic Graphs
Mert Kosan, Arlei Silva, Sourav Medya +2
Event detection is a critical task for timely decision-making in graph analytics applications. Despite the recent progress towards deep learning on graphs, event detection on dynam…
Feature-based Individual Fairness in k-Clustering
Debajyoti Kar, Mert Kosan, Debmalya Mandal +4
Ensuring fairness in machine learning algorithms is a challenging and essential task. We consider the problem of clustering a set of points while satisfying fairness constraints. W…
Meta-Learning with Graph Neural Networks: Methods and Applications
Debmalya Mandal, Sourav Medya, Brian Uzzi +1
Graph Neural Networks (GNNs), a generalization of deep neural networks on graph data have been widely used in various domains, ranging from drug discovery to recommender systems. H…