127 citations · 307 across the 11 of their papers we have counts for
11 papers
A comparative study of similarity-based and GNN-based link prediction approaches
Md Kamrul Islam, Sabeur Aridhi, Malika Smail-Tabbone
The task of inferring the missing links in a graph based on its current structure is referred to as link prediction. Link prediction methods that are based on pairwise node similar…
Neighborhood-Based Label Propagation in Large Protein Graphs
Sabeur Aridhi, Seyed Ziaeddin Alborzi, Malika Smaïl-Tabbone +2
Understanding protein function is one of the keys to understanding life at the molecular level. It is also important in several scenarios including human disease and drug discovery…
BLADYG: A Graph Processing Framework for Large Dynamic Graphs
Sabeur Aridhi, Alberto Montresor, Yannis Velegrakis
Recently, distributed processing of large dynamic graphs has become very popular, especially in certain domains such as social network analysis, Web graph analysis and spatial netw…
Scalable Semi-Supervised Learning over Networks using Nonsmooth Convex Optimization
Alexander Jung, Alfred O. Hero, Alexandru Mara +1
We propose a scalable method for semi-supervised (transductive) learning from massive network-structured datasets. Our approach to semi-supervised learning is based on representing…
An Experimental Survey on Big Data Frameworks
Wissem Inoubli, Sabeur Aridhi, Haithem Mezni +2
Recently, increasingly large amounts of data are generated from a variety of sources. Existing data processing technologies are not suitable to cope with the huge amounts of genera…
Big Graph Mining: Frameworks and Techniques
Sabeur Aridhi, Engelbert Mephu Nguifo
Big graph mining is an important research area and it has attracted considerable attention. It allows to process, analyze, and extract meaningful information from large amounts of…
Multiple instance learning for sequence data with across bag dependencies
Manel Zoghlami, Sabeur Aridhi, Mondher Maddouri +1
In Multiple Instance Learning (MIL) problem for sequence data, the instances inside the bags are sequences. In some real world applications such as bioinformatics, comparing a rand…
Towards a constructive multilayer perceptron for regression task using non-parametric clustering. A case study of Photo-Z redshift reconstruction
Cyrine Arouri, Engelbert Mephu Nguifo, Sabeur Aridhi +3
The choice of architecture of artificial neuron network (ANN) is still a challenging task that users face every time. It greatly affects the accuracy of the built network. In fact…
Mining Representative Unsubstituted Graph Patterns Using Prior Similarity Matrix
Wajdi Dhifli, Rabie Saidi, Engelbert Mephu Nguifo
One of the most powerful techniques to study protein structures is to look for recurrent fragments (also called substructures or spatial motifs), then use them as patterns to chara…
A large-scale and fault-tolerant approach of subgraph mining using density-based partitioning
Sabeur Aridhi, Laurent d'Orazio, Mondher Maddouri +1
Recently, graph mining approaches have become very popular, especially in domains such as bioinformatics, chemoinformatics and social networks. In this scope, one of the most chall…
Feature extraction in protein sequences classification : a new stability measure
Rabie Saidi, Sabeur Aridhi, Mondher Maddouri +1
Feature extraction is an unavoidable task, especially in the critical step of preprocessing biological sequences. This step consists for example in transforming the biological sequ…