George Panagopoulos
George Panagopoulos
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Cited by
Cited by
Detecting rising stars in dynamic collaborative networks
G Panagopoulos, G Tsatsaronis, I Varlamis
Journal of Informetrics 11 (1), 198-222, 2017
Absence of Stressful Conditions Accelerates Dexterous Skill Acquisition in Surgery.
A Pavlidis, I., Zavlin, D., Khatri, A. R., Wesley, A., Panagopoulos, G., & Echo
Scientific Reports 9 (1), 1747, 2019
Forecasting markers of habitual driving behaviors associated with crash risk
G Panagopoulos, I Pavlidis
IEEE transactions on intelligent transportation systems 21 (2), 841-851, 2019
Multi-task learning for influence estimation and maximization
G Panagopoulos, F Malliaros, M Vazirgiannis
IEEE Transactions on Knowledge and Data Engineering, 2020
Diffugreedy: An influence maximization algorithm based on diffusion cascades
G Panagopoulos, FD Malliaros, M Vazirgiannis
International Conference on Complex Networks and their Applications, 392-404, 2018
Multi-Task Learning for Commercial Brain Computer Interfaces
G Panagopoulos
2017 IEEE 17th International Conference on Bioinformatics and Bioengineering …, 2017
Influence maximization using influence and susceptibility embeddings
G Panagopoulos, FD Malliaros, M Vazirgianis
Proceedings of the International AAAI Conference on Web and Social Media 14 …, 2020
Transfer Graph Neural Networks for Pandemic Forecasting
G Panagopoulos, G Nikolentzos, M Vazirgiannis
Proceedings of the AAAI Conference on Artificial Intelligence, 2021
Performance in the courtroom: Automated processing and visualization of appeal court decisions in france
P Boniol, G Panagopoulos, C Xypolopoulos, RE Hamdani, DR Amariles, ...
arXiv preprint arXiv:2006.06251, 2020
Creative Stories: A Storytelling Game Fostering Creativity.
A Koukourikos, P Karampiperis, G Panagopoulos
International Association for Development of the Information Society, 2014
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models
B Rozemberczki, P Scherer, Y He, G Panagopoulos, M Astefanoaei, ...
arXiv preprint arXiv:2104.07788, 2021
Scientometrics for success and influence in the microsoft academic graph
G Panagopoulos, C Xypolopoulos, K Skianis, C Giatsidis, J Tang, ...
International Conference on Complex Networks and Their Applications, 1007-1017, 2019
From computational creativity metrics to the principal components of human creativity
P Karampiperis, A Koukourikos, G Panagopoulos
Knowledge, Information and Creativity Support Systems, 447-456, 2016
Creativity Profiling Server: Modelling the Principal Components of Human Creativity over Texts.
G Panagopoulos, P Karampiperis, A Koukourikos, S Konstantinidis
UMAP Workshops, 2015
An Empirical Study of the Expressiveness of Graph Kernels and Graph Neural Networks
G Nikolentzos, G Panagopoulos, M Vazirgiannis
International Conference on Artificial Neural Networks, 139-150, 2021
Learning to Maximize Influence
G Panagopoulos, N Tziortziotis, FD Malliaros, M Vazirgiannis
arXiv preprint arXiv:2108.04623, 2021
Influence Learning and Maximization.
G Panagopoulos, FD Malliaros
ICWE, 547-550, 2021
Graph Neural Networks with Extreme Nodes Discrimination
G Panagopoulos, H Jalalzai
KDD 2020 Workshop on Deep Learning on Graphs, 2020
A Review of Network Inference Techniques for Neural Activation Time Series
G Panagopoulos
arXiv preprint arXiv:1806.08212, 2018
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