413 citations · 997 across the 48 of their papers we have counts for
9 papers · 1 filter
Semi-Supervised Deep Learning for Multiplex Networks
Anasua Mitra, Priyesh Vijayan, Ranbir Sanasam +3
Multiplex networks are complex graph structures in which a set of entities are connected to each other via multiple types of relations, each relation representing a distinct layer.…
A Deep Generative Model for Molecule Optimization via One Fragment Modification
Ziqi Chen, Martin Renqiang Min, Srinivasan Parthasarathy +1
Molecule optimization is a critical step in drug development to improve desired properties of drug candidates through chemical modification. We developed a novel deep generative mo…
Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights
Sobhan Moosavi, Mohammad Hossein Samavatian, Srinivasan Parthasarathy +2
Reducing traffic accidents is an important public safety challenge, therefore, accident analysis and prediction has been a topic of much research over the past few decades. Using s…
Network Representation Learning: Consolidation and Renewed Bearing
Saket Gurukar, Priyesh Vijayan, Aakash Srinivasan +9
Graphs are a natural abstraction for many problems where nodes represent entities and edges represent a relationship across entities. An important area of research that has emerged…
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations
Xiang Yue, Zhen Wang, Jingong Huang +7
Graph embedding learning that aims to automatically learn low-dimensional node representations, has drawn increasing attention in recent years. To date, most recent graph embedding…
Optimal Exploitation of Clustering and History Information in Multi-Armed Bandit
Djallel Bouneffouf, Srinivasan Parthasarathy, Horst Samulowitz +1
We consider the stochastic multi-armed bandit problem and the contextual bandit problem with historical observations and pre-clustered arms. The historical observations can contain…