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Thomas Messi Nguélé
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2020 – today
- 2025
[j6]Régis Audran Mogo Wafo, Thomas Messi Nguélé, Armel Jacques Nzekon Nzeko'o, Djam Youh Xaviera:
Clustering-based Graph Numbering using Execution Traces for Cache Misses Reduction in Graph Analysis Applications. ARIMA J. 43 (2025)
[j5]Ghislain Wabo Tatchum
, Armel Jacques Nzekon Nzeko'o, Thomas Messi Nguélé, Djam Youh Xaviera:
A general graph learning based framework for job offer recommender system. Eng. Appl. Artif. Intell. 160: 111713 (2025)- 2023
[j4]Thomas Messi Nguélé, Armel Jacques Nzekon Nzeko'o, Damase Donald Onana:
Parallelization of Recurrent Neural Network training algorithm with implicit aggregation on multi-core architectures. ARIMA J. 42 (2023)
[j3]Armel Jacques Nzekon Nzeko'o, Hamza Adamou
, Thomas Messi Nguélé, Bleriot Pagnaul Betndam Tchamba:
Time and content aware implicit social influence estimation to enhancetrust-based recommender systems. ARIMA J. 42 (2023)
2010 – 2019
- 2019
[j2]Thomas Messi Nguélé, Jean-François Méhaut:
Applying Data Structure Succinctness to Graph Numbering For Efficient Graph Analysis. ARIMA J. 32: 9 (2019)- 2018
[b1]Thomas Messi Nguélé:
DSL pour la fouille des réseaux sociaux sur des architectures Multi-coeurs. (DSL (Domain Specific Language) for Social Network Analysis on multicore architectures). Grenoble Alpes University, France, 2018- 2017
[j1]Thomas Messi Nguélé, Maurice Tchuenté, Jean-François Méhaut
:
Social network ordering based on communities to reduce cache misses [Numérotation des graphes sociaux basée sur les communautés pour la réduction des défauts de cache]. ARIMA J. 24 (2017)
[c2]Thomas Messi Nguélé, Maurice Tchuenté, Jean-François Méhaut:
Using Complex-Network Properties for Efficient Graph Analysis. PARCO 2017: 413-422- 2013
[c1]Márcio Castro
, Emilio Francesquini
, Thomas Messi Nguélé, Jean-François Méhaut:
Analysis of computing and energy performance of multicore, NUMA, and manycore platforms for an irregular application. IA3@SC 2013: 5:1-5:8
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