11 citations · 13 across the 3 of their papers we have counts for
8 papers
FRIGATE: Frugal Spatio-temporal Forecasting on Road Networks
Mridul Gupta, Hariprasad Kodamana, Sayan Ranu
Modelling spatio-temporal processes on road networks is a task of growing importance. While significant progress has been made on developing spatio-temporal graph neural networks (…
Global Counterfactual Explainer for Graph Neural Networks
Mert Kosan, Zexi Huang, Sourav Medya +2
Graph neural networks (GNNs) find applications in various domains such as computational biology, natural language processing, and computer security. Owing to their popularity, ther…
Lagrangian Neural Network with Differentiable Symmetries and Relational Inductive Bias
Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
Realistic models of physical world rely on differentiable symmetries that, in turn, correspond to conservation laws. Recent works on Lagrangian and Hamiltonian neural networks show…
Balance Maximization in Signed Networks via Edge Deletions
Kartik Sharma, Iqra Altaf Gillani, Sourav Medya +2
In signed networks, each edge is labeled as either positive or negative. The edge sign captures the polarity of a relationship. Balance of signed networks is a well-studied propert…
Batching and Matching for Food Delivery in Dynamic Road Networks
Manas Joshi, Arshdeep Singh, Sayan Ranu +3
Given a stream of food orders and available delivery vehicles, how should orders be assigned to vehicles so that the delivery time is minimized? Several decisions have to be made:…
GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation
Nikhil Goyal, Harsh Vardhan Jain, Sayan Ranu
Graph generative models have been extensively studied in the data mining literature. While traditional techniques are based on generating structures that adhere to a pre-decided di…