11 papers
Estimation-Prediction Tradeoff in Causal Probabilistic Temporal Graphs
Aniq Ur Rahman
Temporal link prediction (TLP) is typically evaluated by predictive performance on unseen edges, but this criterion can conflate predictive accuracy with recovery of the underlying…
Generating Causal Temporal Interaction Graphs for Counterfactual Validation of Temporal Link Prediction
Aniq Ur Rahman, Justin P. Coon
Temporal link prediction (TLP) models are commonly evaluated based on predictive accuracy, yet such evaluations do not assess whether these models capture the causal mechanisms tha…
XDT-CXR: Investigating Cross-Disease Transferability in Zero-Shot Binary Classification of Chest X-Rays
Umaima Rahman, Abhishek Basu, Muhammad Uzair Khattak +1
This study explores the concept of cross-disease transferability (XDT) in medical imaging, focusing on the potential of binary classifiers trained on one disease to perform zero-sh…
A Primer on Temporal Graph Learning
Aniq Ur Rahman, Justin P. Coon
This document aims to familiarize readers with temporal graph learning (TGL) through a concept-first approach. We have systematically presented vital concepts essential for underst…
Online Algorithm for Node Feature Forecasting in Temporal Graphs
Aniq Ur Rahman, Justin P. Coon
In this paper, we propose an online algorithm mspace for forecasting node features in temporal graphs, which captures spatial cross-correlation among different nodes as well as the…
Network Graph Generation through Adaptive Clustering and Infection Dynamics: A Step Towards Global Connectivity
Aniq Ur Rahman, Fares Fourati, Khac-Hoang Ngo +2
More than 40% of the world's population is not connected to the internet, majorly due to the lack of adequate infrastructure. Our work aims to bridge this digital divide by proposi…
Improving Spectral Efficiency of Wireless Networks through Democratic Spectrum Sharing
Aniq Ur Rahman, Mustafa A. Kishk, Mohamed-Slim Alouini
Wireless devices need spectrum to communicate. With the increase in the number of devices competing for the same spectrum, it has become nearly impossible to support the throughput…
Kolmogorov-Smirnov Test-Based Actively-Adaptive Thompson Sampling for Non-Stationary Bandits
Gourab Ghatak, Hardhik Mohanty, Aniq Ur Rahman
We consider the non-stationary multi-armed bandit (MAB) framework and propose a Kolmogorov-Smirnov (KS) test based Thompson Sampling (TS) algorithm named TS-KS, that actively detec…
A Game-Theoretic Framework for Coexistence of WiFi and Cellular Networks in the 6-GHz Unlicensed Spectrum
Aniq Ur Rahman, Mustafa A. Kishk, Mohamed-Slim Alouini
We study the interaction of WiFi and 5G cellular networks as they exploit the recently unlocked 6-GHz spectrum for unlicensed access while conforming to the constraints imposed by…
An Online Algorithm for Computation Offloading in Non-Stationary Environments
Aniq Ur Rahman, Gourab Ghatak, Antonio De Domenico
We consider the latency minimization problem in a task-offloading scenario, where multiple servers are available to the user equipment for outsourcing computational tasks. To accou…
Feedback based Mobility Control Algorithm for Maximizing Node Coverage by Drone Base Stations
Aniq Ur Rahman, Agnivesh Adhikari
Drone base stations (DBSs) have recently gained wide popularity as a possible solution to provide wireless connectivity in a variety of scenarios, for example, in inaccessible terr…