activity
20172026
most citedSparse Diffusion-Convolutional Neural Networks

6 citations · 13 across the 6 of their papers we have counts for

collaborators

10 papers

quant-ph2026

Quantum-enhanced physical-layer threat detection in metropolitan-scale fiber networks

Yung-Cheng Kao, Siddharth Pal, Alex Forencich +8

Network security is widely recognized as a key application of quantum technology. However, its large-scale deployment is hindered by the need for tight coordination between fundame…

cs.DC2023

Efficient All-to-All Collective Communication Schedules for Direct-Connect Topologies

Prithwish Basu, Liangyu Zhao, Jason Fantl +3

The all-to-all collective communications primitive is widely used in machine learning (ML) and high performance computing (HPC) workloads, and optimizing its performance is of inte…

cs.NI2022★ 2 cited

Efficient Direct-Connect Topologies for Collective Communications

Liangyu Zhao, Siddharth Pal, Tapan Chugh +5

We consider the problem of distilling efficient network topologies for collective communications. We provide an algorithmic framework for constructing direct-connect topologies opt…

cs.SI2020

Dynamics of node influence in network growth models

Shravika Mittal, Tanmoy Chakraborty, Siddharth Pal

Many classes of network growth models have been proposed in the literature for capturing real-world complex networks. Existing research primarily focuses on global characteristics…

cs.SI2020

Modeling Citation Trajectories of Scientific Papers

Dattatreya Mohapatra, Siddharth Pal, Soham De +2

Several network growth models have been proposed in the literature that attempt to incorporate properties of citation networks. Generally, these models aim at retaining the degree…

math.PR2019

Asymptotic degree distributions in random threshold graphs

Armand M. Makowski, Siddharth Pal

We discuss several limiting degree distributions for a class of random threshold graphs in the many node regime. This analysis is carried out under a weak assumption on the distrib…