Intelligent Agents with Graph Mining for Link Prediction over Neo4j

Michalis Nikolaou, Georgios Drakopoulos, Phivos Mylonas, Spyros Sioutas

2023

Abstract

Intelligent agents (IAs) are highly autonomous software applications designed for performing tasks in a broad spectrum of virtual environments by circulating freely around them, possibly in numerous copies, and taking actions as needed, therefore increasing human digital awareness. Consequently, IAs are indispensable for large scale digital infrastructure across fields so diverse as logistics and long supply chains, smart cities, enterprise and Industry 4.0 settings, and Web services. In order to achieve their objectives, frequently IAs rely on machine learning algorithms. One such prime example, which lies in the general direction of evaluating the network structure integrity, is link prediction, which depending on the context may denote growth potential or a malfunction. IAs employing machine learning algorithms and local structural graph attributes pertaining to connectivity patterns are presented. Their performance is evaluated with metrics including the F1 score and the ROC curve on a benchmark dataset of scientific citations provided by Neo4j containing ground truth.

Paper Citation

in Harvard Style

Nikolaou M., Drakopoulos G., Mylonas P. and Sioutas S. (2023). Intelligent Agents with Graph Mining for Link Prediction over Neo4j. In Proceedings of the 19th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST; ISBN 978-989-758-672-9, SciTePress, pages 504-511. DOI: 10.5220/0012238100003584

in Bibtex Style

@conference{webist23,
author={Michalis Nikolaou and Georgios Drakopoulos and Phivos Mylonas and Spyros Sioutas},
title={Intelligent Agents with Graph Mining for Link Prediction over Neo4j},
booktitle={Proceedings of the 19th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST},
year={2023},
pages={504-511},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012238100003584},
isbn={978-989-758-672-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST
TI - Intelligent Agents with Graph Mining for Link Prediction over Neo4j
SN - 978-989-758-672-9
AU - Nikolaou M.
AU - Drakopoulos G.
AU - Mylonas P.
AU - Sioutas S.
PY - 2023
SP - 504
EP - 511
DO - 10.5220/0012238100003584
PB - SciTePress