activity
20152022
most citedGraphCL: Contrastive Self-Supervised Learning of Graph Representations

25 citations · 38 across the 7 of their papers we have counts for

collaborators

12 papers

math.OC2022

Age-of-Updates Optimization for UAV-assisted Networks

Mouhamed Naby Ndiaye, El Houcine Bergou, Mounir Ghogho +1

Unmanned aerial vehicles (UAVs) have been proposed as a promising technology to collect data from IoT devices and relay it to the network. In this work, we are interested in scenar…

cs.CR2021

Leveraging Open Threat Exchange (OTX) to Understand Spatio-Temporal Trends of Cyber Threats: Covid-19 Case Study

Othmane Cherqi, Hicham Hammouchi, Mounir Ghogho +1

Understanding the properties exhibited by Spatial-temporal evolution of cyber attacks improve cyber threat intelligence. In addition, better understanding on threats patterns is a…

cs.RO2020

Communication-Aware Energy Efficient Trajectory Planning with Limited Channel Knowledge

D. Bonilla Licea, M. Bonilla, M. Ghogho +2

Wireless communications is nowadays an important aspect of robotics. There are many applications in which a robot must move to a certain goal point while transmitting information t…

cs.LG202025 cited

GraphCL: Contrastive Self-Supervised Learning of Graph Representations

Hakim Hafidi, Mounir Ghogho, Philippe Ciblat +1

We propose Graph Contrastive Learning (GraphCL), a general framework for learning node representations in a self supervised manner. GraphCL learns node embeddings by maximizing the…

cs.DB2020

NoSQL Databases: Yearning for Disambiguation

Chaimae Asaad, Karim Baïna, Mounir Ghogho

The demanding requirements of the new Big Data intensive era raised the need for flexible storage systems capable of handling huge volumes of unstructured data and of tackling the…

eess.SP2019

Fusion Rules for Distributed Detection in Clustered Wireless Sensor Networks with Imperfect Channels

Sami A. Aldalahmeh, Saleh O. Al-Jazzar, Des McLernon +2

In this paper we investigate fusion rules for distributed detection in large random clustered-wireless sensor networks (WSNs) with a three-tier hierarchy; the sensor nodes (SNs), t…