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Jefrey Lijffijt on Muck Rack

Jefrey Lijffijt

As seen in: arXiv, MDPI, Mary Ann Liebert, Inc.
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Articles

[2510.01197] Are LLMs ready to help non-expert users to make charts of official statistics data?

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By Alexander Rogiers, Jefrey Lijffijt, Lucas Lageweg
| arXiv
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Exploring the Performance of Continuous-Time Dynamic Link Prediction Algorithms

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By Raphael Romero, Maarten Buyl, Tijl De Bie, Jefrey Lijffijt
| MDPI
1. Introduction Many real-world phenomena such as computers networks [1], epidemics [2], neural networks [3], email exchanges [4], and face-to-face interactions [4,5] can be modeled as a set of objects interacting through time. These types of data are commonly represented as a dynamic graph [6], where nodes represent the objects while edges represent pairs of objects that interact through time.
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SimHawNet: A Modified Hawkes Process for Temporal Network Simulation

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By De Bie, Raphael Romero, Tijl De Bie, Jefrey Lijffijt
| arXiv
[Submitted on 14 Mar 2022 ( v1 ), last revised 16 Jan 2025 (this version, v3)] Title:SimHawNet: A Modified Hawkes Process for Temporal Network Simulation View a PDF of the paper titled SimHawNet: A Modified Hawkes Process for Temporal Network Simulation, by Mathilde Perez and 5 other authors View PDF HTML (experimental) Abstract:Temporal networks allow representing connections between objects while incorporating the temporal dimension.
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