INFLECT-DGNN: Influencer Prediction With Dynamic Graph Neural Networks-Reference-Cited by-同舟云学术

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INFLECT-DGNN: Influencer Prediction With Dynamic Graph Neural Networks

Published:2024 Issue: Volume:12 Page:115026-115041
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Tiukhova Elena¹^ORCID,Penaloza Emiliano²^ORCID,Óskarsdóttir María³^ORCID,Baesens Bart¹^ORCID,Snoeck Monique¹^ORCID,Bravo Cristián²^ORCID

Affiliation:

1. Research Center for Information Systems Engineering (LIRIS), KU Leuven, Leuven, Belgium

2. Department of Statistical and Actuarial Sciences, Western University, London, ON, Canada

3. Department of Computer Science, Reykjavik University, Reykjavik, Iceland

Funder

ING Chair on Applying Deep Learning on Metadata as a Competitive Accelerator

Canada Research Chairs

Compute Ontario

Calcul Québec

Alliance de recherche numérique du Canada

Icelandic Research Fund

Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10636147.pdf?arnumber=10636147

Reference46 articles.

1. MAGRes-UNet: Improved Medical Image Segmentation Through a Deep Learning Paradigm of Multi-Attention Gated Residual U-Net

2. Social Network Analytics for Supervised Fraud Detection in Insurance

3. A heterogeneous graph neural network model for list recommendation

4. Tracing the fake news propagation path using social network analysis

5. Influential Node Detection and Ranking With Fusion of Heterogeneous Social Media Information

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